Big Data for Chimps

✍ Scribed by Jurney, Russell

Publisher: O'Reilly Media
Year: 2015
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 cluster

Dive into map/reduce mechanics and build your first map/reduce job in Python

Understand how to run chains of map/reduce...

✦ Subjects

Database searching;Databases management

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