ENGLISH

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

Book information

Publisher
O'Reilly Media
Year
2015
ISBN
1491923946, 9781491923948
Language
english
Format
EPUB
Filesize
772 kB (790529 bytes)
Edition
1
Pages
220\0
Time added
2015-10-27 10:34:54

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 them

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