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Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice

Unknown Author
4.9/5 (28964 ratings)
Description:Finding patterns in massive event streams can be difficult, but learning how to find them doesn't have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You'll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this book's approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you'll also learn how to use Apache Pig to process data.Learn the necessary mechanics of working with Hadoop, including how data and computation move around the clusterDive into map/reduce mechanics and build your first map/reduce job in PythonUnderstand how to run chains of map/reduce jobs in the form of Pig scriptsUse a real-world dataset--baseball performance statistics--throughout the bookWork with examples of several analytic patterns, and learn when and where you might use themWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. To get started finding Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
220
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2015
ISBN
149192392X

Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice

Unknown Author
4.4/5 (1290744 ratings)
Description: Finding patterns in massive event streams can be difficult, but learning how to find them doesn't have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You'll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this book's approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you'll also learn how to use Apache Pig to process data.Learn the necessary mechanics of working with Hadoop, including how data and computation move around the clusterDive into map/reduce mechanics and build your first map/reduce job in PythonUnderstand how to run chains of map/reduce jobs in the form of Pig scriptsUse a real-world dataset--baseball performance statistics--throughout the bookWork with examples of several analytic patterns, and learn when and where you might use themWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. To get started finding Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
220
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2015
ISBN
149192392X
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