Tag Archive: Big
Projects in Hadoop and Big Data: Learn by Building Apps for $100
KEY FEATURES
Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.
- Access 43 lectures & 10 hours of content 24/7
- Learn how technologies like Mapreduce apply to clustering problems
- Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
- Set up a Kafka stream w/ Java code for producers & consumers
- Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
- Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
Projects in Hadoop and Big Data: Learn by Building Apps for $69
KEY FEATURES
Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.
- Access 43 lectures & 10 hours of content 24/7
- Learn how technologies like Mapreduce apply to clustering problems
- Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
- Set up a Kafka stream w/ Java code for producers & consumers
- Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
- Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
Big Data Hadoop Training Bundle for $49
KEY FEATURES
‘Big data’ even by name appears large and intimidating. This course is here to settle your fears and introduce you to the concept of big data from scratch. Understand what it is and why it’s such an essential part of the business world today. You’ll get familiar with the technologies powering the industry, like Hadoop, and dive into hands-on projects. Complete the 30 hour training and get the chance to score a coveted certification to impress recruiters everywhere.
- Get introduced to the Big Data Ecosystem
- Understand the need for big data & its applications
- Study the Hadoop architecture
- Learn about Map-reduce framework
- Use Sqoop & Flume to load data into Hadoop File System
- Run queries using Pig & Hive
- Install & configure HBase
- Discuss & differentiate various commercial distributions of Big Data like Cloudera & Hortonworks
- Successfully complete the project to be eligible for a certification
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: 1 Year
- Access options: web streaming
- Certification of completion included w/ submission of project
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- After completion of the training, participants need to apply for PDU e-certificates online. Once applied, the PDU e-certificates will reach participants within 2 business days.
Compatibility
- Min. 2 MBPS Internet Connectivity
- Multimedia PC w/ speakers/headphones & microphone
- Windows 7 or later
- Mac OS 10.7 or later
- Processor: Intel Core i5 or newer
- RAM: 4GB minimum, 8GB would be recommended
- Latest version of Chrome or Firefox
THE EXPERT
GreyCampus transforms careers through skills and certification training. They’re a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management, and Quality Management. They offer live-online (instructor-led online), classroom (instructor-led classroom), and e-learning (online self-learning ) courses. Their growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals.
For more details on this course and instructor, click here.
KEY FEATURES
So now you understand the basics of big data and its technologies, but it’s time to get serious. This training is intended for system administrators, DBA’s, Linux admins, and software engineers responsible for managing and maintaining Hadoop clusters. You’ll get hands-on experience with managing and maintaining a Hadoop Cluster, gaining the in-demand skills that will truly accelerate your career in the right direction.
- Understand Hadoop architecture & its components
- Learn about Hadoop Cluster
- Manage, maintain, monitor & troubleshoot a Hadoop Cluster
- Gain insight on YARN & MapReduce
- Install & configure Apache Ecosystem Tools
- Study configuration & performance tuning
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: 1 Year
- Access options: web streaming
- Certification of completion included w/ submission of project
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- After completing 30 hrs of training, participants will be provided a Project which they have to submit within 15 days. A successful completion of the project would make the participants eligible for the GreyCampus certificate.
Compatibility
- Min. 2 MBPS Internet Connectivity
- Multimedia PC w/ speakers/headphones & microphone
- Windows 7 or later
- Mac OS 10.7 or later
- Processor: Intel Core i5 or newer
- RAM: 8GB would be recommended
- Latest version of Chrome or Firefox
THE EXPERT
GreyCampus transforms careers through skills and certification training. They’re a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management, and Quality Management. They offer live-online (instructor-led online), classroom (instructor-led classroom), and e-learning (online self-learning ) courses. Their growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals.
For more details on this course and instructor, click here.
Big Data Power Tools Bundle for $45
KEY FEATURES
Linear Regression is a powerful method for quantifying the cause and effect relationships that affect different phenomena in the world around us. This course will teach you how to build robust linear models that will stand up to scrutiny when you apply them to real world situations. You’ll even put what you’ve learnt into practice by leveraging Excel, R, and Python to build a model for stock returns.
- Access 40 lectures & 5 hours of content 24/7
- Cover method of least squares, explaining variance, & forecasting an outcome
- Explore residuals & assumptions about residuals
- Implement simple & multiple regression in Excel, R, & Python
- Interpret regression results & avoid common pitfalls
- Introduce a categorical variable
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. This course will help you understand factor analysis and its link to linear regression. You’ll explore how Principal Components Analysis (PCA) is a cookie cutter technique to solve factor extraction, and how it relates to machine learning.
- Access 19 lectures & 1.5 hours of content 24/7
- Understand principal components
- Discuss Eigen values & Eigen vectors
- Perform Eigenvalue decomposition
- Use principal components for dimensionality reduction & exploratory factor analysis
- Apply PCA to explain the returns of a technology stock like Apple
- Find the principal components & use them to build a regression model
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
This course is an introduction to the R programming language. R has its own set of data structures that take some getting used to, and this course will help you familiarize yourself with the intricacies of data manipulation in R. You’ll dive into data analysis with R, visualizing a variety of plots and graphs, descriptive statistics, and much more.
- Access 59 lectures & 5.5 hours of content 24/7
- Harness R & R packages to read, process, & visualize data
- Understand the intricacies of all the different data structures in R
- Use descriptive statistics to perform a quick study of some data & present results
- Discuss data analysis & visualization w/ R
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Hive helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface, HiveQL, is very similar to SQL, making it an especially convenient tool to know. This course will help you take advantage of Hive features that help you tune performance and perform complex transformations.
- Access 50 lectures & 6 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
- Explore subqueries, table generating functions, windowing, & more
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL is necessary
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
A Qlikview app is like an in-memory database. It is a single tool that you can use to transform, summarize, and visualize data. The interactive nature of Qlikview allows you to explore and iterate data very quickly to develop an intuitive feel. In this course, you’ll use real-life, practical examples to learn how to work with this tool.
- Access 26 lectures & 2.5 hours of content 24/7
- Use list boxes, table boxes, & chart boxes to query data
- Load data into a QV app from CSV & databases, avoiding synthetic keys & circular references
- Transform & add new fields in a load script
- Present your insights effectively using elements like charts, drill downs, & triggers
- Perform nested aggregations in charts
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Storm is to real-time stream processing what Hadoop is to batch processing. Using Storm, you can build applications that let you be highly responsive to the latest data and react within seconds and minutes – like finding the latest trending topics on Twitter, or monitoring spikes in payment gateway failures. From simple data transformations to applying machine learning algorithms on the fly, Storm can do it all.
- Access 36 lectures & 4 hours of content 24/7
- Understand Spouts & Bolts, which are the building blocks of every Storm topology
- Run a Storm topology in the local mode & in the remote mode
- Parallelize data processing within a topology using different grouping strategies
- Manage reliability & fault-tolerance within Spouts & Bolts
- Perform complex transformations on the fly using the Trident topology
- Apply ML algorithms on the fly using libraries like Trident-ML & Storm-R
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The best way to learn is by example, and in this course you’ll get the lowdown on Scala with 65 comprehensive, hands-on examples. Scala is a general-purpose programming language that is highly scalable, making it incredibly useful in building programs. Over this immersive course, you’ll explore just how Scala can help your programming skill set, and how you can set yourself apart from other programmers by knowing this efficient tool.
- Access 67 lectures & 6.5 hours of content 24/7
- Use Scala w/ an intermediate level of proficiency
- Read & understand Scala programs, including those w/ highly functional forms
- Identify the similarities & differences between Java & Scala to use each to their advantages
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
The Big Data Bundle for $35
KEY FEATURES
Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It’s perfect for both professional and aspiring data analysts and engineers alike. Don’t know SQL? No problem, there’s a primer included in this course!
- Access 86 lectures & 15 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Customize Hive w/ user defined functions in Java & Python
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of SQL and Java would be helpful
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
- Access 71 lectures & 13 hours of content 24/7
- Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
- Understand HDFS, MapReduce & YARN & their interaction
- Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Learn to globally sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course’s focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.
- Access 52 lectures & 8 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
- Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Python and Java are assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you’ll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.
- Access 41 lectures & 4.5 hours of content 24/7
- Set up a database for your application using HBase
- Integrate HBase w/ MapReduce for data processing tasks
- Create tables, insert, read & delete data from HBase
- Get a complete understanding of HBase & its role in the Hadoop ecosystem
- Explore CRUD operations in the shell, & with the Java API
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge Java is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That’s why there’s Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.
- Access 34 lectures & 5 hours of content 24/7
- Clean up server logs using Pig
- Work w/ unstructured data to extract information, transform it, & store it in a usable form
- Write intermediate level Pig scripts to munge data
- Optimize Pig operations to work on large data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Working with Big Data, obviously, can be a very complex task. That’s why it’s important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.
- Access 23 lectures & 3 hours of content 24/7
- Install & set up Oozie
- Configure Workflows to run jobs on Hadoop
- Create time-triggered & data-triggered Workflows
- Build & optimize data pipelines using Bundles
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.
- Access 16 lectures & 2 hours of content 24/7
- Use Flume to ingest data to HDFS & HBase
- Optimize Sqoop to import data from MySQL to HDFS & Hive
- Ingest data from a variety of sources including HTTP, Twitter & MySQL
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
Big Data Mastery with Hadoop Bundle for $39
KEY FEATURES
Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. By course’s end, you’ll have a solid grasp of data management concepts.
- Learn the concepts of MapReduce to analyze big sets of data w/ 56 lectures & 5.5 hours of content
- Run MapReduce jobs quickly using Python & MRJob
- Translate complex analysis problems into multi-stage MapReduce jobs
- Scale up to larger data sets using Amazon’s Elastic MapReduce service
- Understand how Hadoop distributes MapReduce across computing clusters
- Complete projects to get hands-on experience: analyze social media data, movie ratings & more
- Learn about other Hadoop technologies, like Hive, Pig & Spark
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!
KEY FEATURES
Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.
- Access 43 lectures & 10 hours of content 24/7
- Learn how technologies like Mapreduce apply to clustering problems
- Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
- Set up a Kafka stream w/ Java code for producers & consumers
- Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
- Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
KEY FEATURES
Have you ever wondered how major companies, universities, and organizations manage and process all the data they’ve collected over time? Well, the answer is Big Data, and people who can work with it are in huge demand. In this course you’ll cover the MapReduce algorithm and its most popular implementation, Apache Hadoop. Throughout this comprehensive course, you’ll learn essential Big Data terminology, MapReduce concepts, advanced Hadoop development, and gain a complete understanding of the Hadoop ecosystem so you can become a big time IT professional.
- Access 76 lectures & 15.5 hours of content 24/7
- Learn how to setup Node Hadoop pseudo clusters
- Understand & work w/ the architecture of clusters
- Run multi-node clusters on Amazon’s Elastic Map Reduce (EMR)
- Master distributed file systems & operations including running Hadoop on HortonWorks Sandbok & Cloudera
- Use MapReduce w/ Hive & Pig
- Discover data mining & filtering
- Learn the differences between Hadoop Distributed File System vs. Google File System
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: beginner
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
Website – www.eduonix.com
For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!
KEY FEATURES
Hadoop is one of the most commonly used Big Data frameworks, supporting the processing of large data sets in a distributed computing environment. This tool is becoming more and more essential to big business as the world becomes more data-driven. In this introduction, you’ll cover the individual components of Hadoop in detail and get a higher level picture of how they interact with one another. It’s an excellent first step towards mastering Big Data processes.
- Access 30 lectures & 5 hours of content 24/7
- Install Hadoop in Standalone, Pseudo-Distributed, & Fully Distributed mode
- Set up a Hadoop cluster using Linux VMs
- Build a cloud Hadoop cluster on AWS w/ Cloudera Manager
- Understand HDFS, MapReduce, & YARN & their interactions
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: beginner
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Take your Hadoop skills to a whole new level by exploring its features for controlling and customizing MapReduce to a very granular level. Covering advanced topics like building inverted indexes for search engines, generating bigrams, combining multiple jobs, and much more, this course will push your skills towards a professional level.
- Access 24 lectures & 4.5 hours of content 24/7
- Cover advanced MapReduce topics like mapper, reducer, sort/merge, partitioning, & more
- Use MapReduce to build an inverted index for search engines & generate bigrams from text
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analyzing data is an essential to making informed business decisions, and most data analysts use SQL queries to get the answers they’re looking for. In this course, you’ll learn how to map constructs in SQL to corresponding design patterns for MapReduce jobs, allowing you to understand how these two programs can be leveraged together to simplify data problems.
- Access 49 lectures & 1.5 hours of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement a SQL query like operations
- Work through SQL constructs such as select, where, group by, & more w/ their corresponding MapReduce jobs in Hadoop
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
You see recommendation algorithms all the time, whether you realize it or not. Whether it’s Amazon recommending a product, Facebook recommending a friend, Netflix, a new TV show, recommendation systems are a big part of internet life. This is done by collaborative filtering, something you can perform through MapReduce with data collected in Hadoop. In this course, you’ll learn how to do it.
- Access 4 lectures & 1 hour of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement a recommendations algorithm
- Recommend friends on a social networking site using a MapReduce collaborative filtering algorithm
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data, especially in enterprise, will often expand at a rapid scale. Hadoop excels at compiling and organizing this data, however, to do anything meaningful with it, you may need to run machine learning algorithms to decipher patterns. In this course, you’ll learn one such algorithm, the K-Means clustering algorithm, and how to use MapReduce to implement it in Hadoop.
- Access 7 lectures & 1.5 hours of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement the K-Means clustering algorithm
- Convert algorithms into MapReduce patterns
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
Big Data Mastery with Hadoop Bundle for $46
KEY FEATURES
Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. By course’s end, you’ll have a solid grasp of data management concepts.
- Learn the concepts of MapReduce to analyze big sets of data w/ 56 lectures & 5.5 hours of content
- Run MapReduce jobs quickly using Python & MRJob
- Translate complex analysis problems into multi-stage MapReduce jobs
- Scale up to larger data sets using Amazon’s Elastic MapReduce service
- Understand how Hadoop distributes MapReduce across computing clusters
- Complete projects to get hands-on experience: analyze social media data, movie ratings & more
- Learn about other Hadoop technologies, like Hive, Pig & Spark
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!
KEY FEATURES
Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.
- Access 43 lectures & 10 hours of content 24/7
- Learn how technologies like Mapreduce apply to clustering problems
- Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
- Set up a Kafka stream w/ Java code for producers & consumers
- Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
- Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
KEY FEATURES
Have you ever wondered how major companies, universities, and organizations manage and process all the data they’ve collected over time? Well, the answer is Big Data, and people who can work with it are in huge demand. In this course you’ll cover the MapReduce algorithm and its most popular implementation, Apache Hadoop. Throughout this comprehensive course, you’ll learn essential Big Data terminology, MapReduce concepts, advanced Hadoop development, and gain a complete understanding of the Hadoop ecosystem so you can become a big time IT professional.
- Access 76 lectures & 15.5 hours of content 24/7
- Learn how to setup Node Hadoop pseudo clusters
- Understand & work w/ the architecture of clusters
- Run multi-node clusters on Amazon’s Elastic Map Reduce (EMR)
- Master distributed file systems & operations including running Hadoop on HortonWorks Sandbok & Cloudera
- Use MapReduce w/ Hive & Pig
- Discover data mining & filtering
- Learn the differences between Hadoop Distributed File System vs. Google File System
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: beginner
Compatibility
- Internet required
THE EXPERT
Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.
Website – www.eduonix.com
For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!
KEY FEATURES
Hadoop is one of the most commonly used Big Data frameworks, supporting the processing of large data sets in a distributed computing environment. This tool is becoming more and more essential to big business as the world becomes more data-driven. In this introduction, you’ll cover the individual components of Hadoop in detail and get a higher level picture of how they interact with one another. It’s an excellent first step towards mastering Big Data processes.
- Access 30 lectures & 5 hours of content 24/7
- Install Hadoop in Standalone, Pseudo-Distributed, & Fully Distributed mode
- Set up a Hadoop cluster using Linux VMs
- Build a cloud Hadoop cluster on AWS w/ Cloudera Manager
- Understand HDFS, MapReduce, & YARN & their interactions
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: beginner
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Take your Hadoop skills to a whole new level by exploring its features for controlling and customizing MapReduce to a very granular level. Covering advanced topics like building inverted indexes for search engines, generating bigrams, combining multiple jobs, and much more, this course will push your skills towards a professional level.
- Access 24 lectures & 4.5 hours of content 24/7
- Cover advanced MapReduce topics like mapper, reducer, sort/merge, partitioning, & more
- Use MapReduce to build an inverted index for search engines & generate bigrams from text
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analyzing data is an essential to making informed business decisions, and most data analysts use SQL queries to get the answers they’re looking for. In this course, you’ll learn how to map constructs in SQL to corresponding design patterns for MapReduce jobs, allowing you to understand how these two programs can be leveraged together to simplify data problems.
- Access 49 lectures & 1.5 hours of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement a SQL query like operations
- Work through SQL constructs such as select, where, group by, & more w/ their corresponding MapReduce jobs in Hadoop
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
You see recommendation algorithms all the time, whether you realize it or not. Whether it’s Amazon recommending a product, Facebook recommending a friend, Netflix, a new TV show, recommendation systems are a big part of internet life. This is done by collaborative filtering, something you can perform through MapReduce with data collected in Hadoop. In this course, you’ll learn how to do it.
- Access 4 lectures & 1 hour of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement a recommendations algorithm
- Recommend friends on a social networking site using a MapReduce collaborative filtering algorithm
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data, especially in enterprise, will often expand at a rapid scale. Hadoop excels at compiling and organizing this data, however, to do anything meaningful with it, you may need to run machine learning algorithms to decipher patterns. In this course, you’ll learn one such algorithm, the K-Means clustering algorithm, and how to use MapReduce to implement it in Hadoop.
- Access 7 lectures & 1.5 hours of content 24/7
- Master the art of “thinking parallel” to break tasks into MapReduce transformations
- Use Hadoop & MapReduce to implement the K-Means clustering algorithm
- Convert algorithms into MapReduce patterns
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- IDE like IntelliJ or Eclipse required (free to download)
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
Big Data and Hadoop Analytics Certification Bundle for $59
KEY FEATURES
The business world runs on data these days, and it’s the people who know how to make data-driven business decisions who are getting ahead. You can become one of those people after this 3-course bundle diving into the science and best business practices of working with mass amounts of data and real-time analytics. You’ll explore the basics of Big Data, including one of the most popular tools, Hadoop, and learn to perform data science and business analytics with Python. By course’s end, you’ll have a nuanced understanding of the economic implications of data and how best to work with it to make informed decisions.
- Access 3 comprehensive courses 24/7
- Interpret the processes that go into handling huge volumes of data in real-time analytics
- Learn Hadoop components like HDFS & MapReduce
- Use Microsoft Excel to learn analytical concepts & hard skills
- Explore the various Python libraries & tools used in data analytics
- Perform data mining, wrangling, website scraping, web app building, data engineering, & more w/ Python
- Write maintainable, scalable, robust code w/ Python
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: 180 days
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
- 32- or 64-bit operating system
- 1 GB RAM
THE EXPERT
The online courses at Certs School give folks the chance to throw their careers into overdrive without ever leaving their cubicle. Designed to let students learn at their own pace, the courses give people the chance to learn everything from analyzing big data to using business tools such as Salesforce. Every course is designed by industry insiders with years of experience.
For more information on this course and instructor, click here.
The Big Data Bundle for $20
KEY FEATURES
Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It’s perfect for both professional and aspiring data analysts and engineers alike. Don’t know SQL? No problem, there’s a primer included in this course!
- Access 86 lectures & 15 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Customize Hive w/ user defined functions in Java & Python
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of SQL and Java would be helpful
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
- Access 71 lectures & 13 hours of content 24/7
- Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
- Understand HDFS, MapReduce & YARN & their interaction
- Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Learn to globally sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course’s focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.
- Access 52 lectures & 8 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
- Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Python and Java are assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you’ll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.
- Access 41 lectures & 4.5 hours of content 24/7
- Set up a database for your application using HBase
- Integrate HBase w/ MapReduce for data processing tasks
- Create tables, insert, read & delete data from HBase
- Get a complete understanding of HBase & its role in the Hadoop ecosystem
- Explore CRUD operations in the shell, & with the Java API
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge Java is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That’s why there’s Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.
- Access 34 lectures & 5 hours of content 24/7
- Clean up server logs using Pig
- Work w/ unstructured data to extract information, transform it, & store it in a usable form
- Write intermediate level Pig scripts to munge data
- Optimize Pig operations to work on large data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Working with Big Data, obviously, can be a very complex task. That’s why it’s important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.
- Access 23 lectures & 3 hours of content 24/7
- Install & set up Oozie
- Configure Workflows to run jobs on Hadoop
- Create time-triggered & data-triggered Workflows
- Build & optimize data pipelines using Bundles
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.
- Access 16 lectures & 2 hours of content 24/7
- Use Flume to ingest data to HDFS & HBase
- Optimize Sqoop to import data from MySQL to HDFS & Hive
- Ingest data from a variety of sources including HTTP, Twitter & MySQL
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
The Big Data Bundle for $28
KEY FEATURES
Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It’s perfect for both professional and aspiring data analysts and engineers alike. Don’t know SQL? No problem, there’s a primer included in this course!
- Access 86 lectures & 15 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Customize Hive w/ user defined functions in Java & Python
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of SQL and Java would be helpful
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
- Access 71 lectures & 13 hours of content 24/7
- Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
- Understand HDFS, MapReduce & YARN & their interaction
- Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Learn to globally sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course’s focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.
- Access 52 lectures & 8 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
- Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Python and Java are assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you’ll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.
- Access 41 lectures & 4.5 hours of content 24/7
- Set up a database for your application using HBase
- Integrate HBase w/ MapReduce for data processing tasks
- Create tables, insert, read & delete data from HBase
- Get a complete understanding of HBase & its role in the Hadoop ecosystem
- Explore CRUD operations in the shell, & with the Java API
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge Java is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That’s why there’s Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.
- Access 34 lectures & 5 hours of content 24/7
- Clean up server logs using Pig
- Work w/ unstructured data to extract information, transform it, & store it in a usable form
- Write intermediate level Pig scripts to munge data
- Optimize Pig operations to work on large data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Working with Big Data, obviously, can be a very complex task. That’s why it’s important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.
- Access 23 lectures & 3 hours of content 24/7
- Install & set up Oozie
- Configure Workflows to run jobs on Hadoop
- Create time-triggered & data-triggered Workflows
- Build & optimize data pipelines using Bundles
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.
- Access 16 lectures & 2 hours of content 24/7
- Use Flume to ingest data to HDFS & HBase
- Optimize Sqoop to import data from MySQL to HDFS & Hive
- Ingest data from a variety of sources including HTTP, Twitter & MySQL
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
The Big Data Bundle for $33
KEY FEATURES
Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It’s perfect for both professional and aspiring data analysts and engineers alike. Don’t know SQL? No problem, there’s a primer included in this course!
- Access 86 lectures & 15 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Customize Hive w/ user defined functions in Java & Python
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of SQL and Java would be helpful
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
- Access 71 lectures & 13 hours of content 24/7
- Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
- Understand HDFS, MapReduce & YARN & their interaction
- Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Learn to globally sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course’s focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.
- Access 52 lectures & 8 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
- Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Python and Java are assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you’ll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.
- Access 41 lectures & 4.5 hours of content 24/7
- Set up a database for your application using HBase
- Integrate HBase w/ MapReduce for data processing tasks
- Create tables, insert, read & delete data from HBase
- Get a complete understanding of HBase & its role in the Hadoop ecosystem
- Explore CRUD operations in the shell, & with the Java API
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge Java is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That’s why there’s Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.
- Access 34 lectures & 5 hours of content 24/7
- Clean up server logs using Pig
- Work w/ unstructured data to extract information, transform it, & store it in a usable form
- Write intermediate level Pig scripts to munge data
- Optimize Pig operations to work on large data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Working with Big Data, obviously, can be a very complex task. That’s why it’s important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.
- Access 23 lectures & 3 hours of content 24/7
- Install & set up Oozie
- Configure Workflows to run jobs on Hadoop
- Create time-triggered & data-triggered Workflows
- Build & optimize data pipelines using Bundles
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.
- Access 16 lectures & 2 hours of content 24/7
- Use Flume to ingest data to HDFS & HBase
- Optimize Sqoop to import data from MySQL to HDFS & Hive
- Ingest data from a variety of sources including HTTP, Twitter & MySQL
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
The Big Data Bundle for $45
KEY FEATURES
Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It’s perfect for both professional and aspiring data analysts and engineers alike. Don’t know SQL? No problem, there’s a primer included in this course!
- Access 86 lectures & 15 hours of content 24/7
- Write complex analytical queries on data in Hive & uncover insights
- Leverage ideas of partitioning & bucketing to optimize queries in Hive
- Customize Hive w/ user defined functions in Java & Python
- Understand what goes on under the hood of Hive w/ HDFS & MapReduce
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of SQL and Java would be helpful
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
- Access 71 lectures & 13 hours of content 24/7
- Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
- Understand HDFS, MapReduce & YARN & their interaction
- Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
- Chain multiple MapReduce jobs together
- Write your own customized partitioner
- Learn to globally sort a large amount of data by sampling input files
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course’s focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.
- Access 52 lectures & 8 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
- Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Python and Java are assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.
- Access 51 lectures & 8.5 hours of content 24/7
- Use Spark for a variety of analytics & machine learning tasks
- Understand functional programming constructs in Scala
- Implement complex algorithms like PageRank & Music Recommendations
- Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
- Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
- Write code in Scala REPL environments & build Scala applications w/ an IDE
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Java or C++ is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you’ll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.
- Access 41 lectures & 4.5 hours of content 24/7
- Set up a database for your application using HBase
- Integrate HBase w/ MapReduce for data processing tasks
- Create tables, insert, read & delete data from HBase
- Get a complete understanding of HBase & its role in the Hadoop ecosystem
- Explore CRUD operations in the shell, & with the Java API
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge Java is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That’s why there’s Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.
- Access 34 lectures & 5 hours of content 24/7
- Clean up server logs using Pig
- Work w/ unstructured data to extract information, transform it, & store it in a usable form
- Write intermediate level Pig scripts to munge data
- Optimize Pig operations to work on large data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children’s growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you’re on your own.
- Access 44 lectures & 5.5 hours of content 24/7
- Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
- Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
- Design primary keys & secondary indexes, & learn partitioning & clustering keys
- Understand restrictions on queries based on primary & secondary key design
- Discover tunable consistency using quorum & local quorum
- Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
- Build a Miniature Catalog Management System using the Cassandra Java driver
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Working with Big Data, obviously, can be a very complex task. That’s why it’s important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.
- Access 23 lectures & 3 hours of content 24/7
- Install & set up Oozie
- Configure Workflows to run jobs on Hadoop
- Create time-triggered & data-triggered Workflows
- Build & optimize data pipelines using Bundles
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
KEY FEATURES
Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.
- Access 16 lectures & 2 hours of content 24/7
- Use Flume to ingest data to HDFS & HBase
- Optimize Sqoop to import data from MySQL to HDFS & Hive
- Ingest data from a variety of sources including HTTP, Twitter & MySQL
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required
Compatibility
- Internet required
THE EXPERT
Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.
