Learn all the skills and techniques you'll need to deploy each key component of a Hadoop platform in 24 lessons of an hour or less. Jeffrey Aven shows how to put a platform together in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets.

<ASIN:0672338521>

The book has step-by-step instructions to walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips; and "Watch Out!" alerts help you avoid pitfalls.

Author: Jeffrey Aven
Publisher: Sams
Date: April 2017
Pages: 500
ISBN: 978-0672338526
Print: 0672338521
Kindle: B06XYM3XH4
Audience: Big data developers
Level: intermediate
Category: Data Science

• Understanding Hadoop and the Hadoop Distributed File System (HDFS)
• Importing data into Hadoop, and process it there
• Mastering basic MapReduce Java programming, and using advanced MapReduce API concepts
• Making the most of Apache Pig and Apache Hive
• Implementing and administering YARN
• Taking advantage of the full Hadoop ecosystem
• Managing Hadoop clusters with Apache Ambari
• Working with the Hadoop User Environment (HUE)
• Scaling, securing, and troubleshooting Hadoop environments
• Integrating Hadoop into the enterprise
• Deploying Hadoop in the cloud
• Getting started with Apache Spark

Also see Reading Your Way Into Big Data, an article on Programmer's Bookshelf in which Ian Stirk provides a roadmap of the reading required to take you from novice to competent in areas relating to data science.

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