文件名称：Big.Data.for.Chimps.A.Guide.to.Massive-Scale.Data.Processing.in.Practice.epub
文件大小：3.95MB
文件格式：EPUB
更新时间：2019-12-23 10:39:34
Big Data
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 jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them Table of Contents Part I. Introduction: Theory and Tools Chapter 1. Hadoop Basics Chapter 2. MapReduce Chapter 3. A Quick Look into Baseball Chapter 4. Introduction to Pig Part II. Tactics: Analytic Patterns Chapter 5. Map-Only Operations Chapter 6. Grouping Operations Chapter 7. Joining Tables Chapter 8. Ordering Operations Chapter 9. Duplicate and Unique Records