Beginning Apache Pig
Big Data Processing Made Easy

Authors: Balaswamy Vaddeman



Only Pig book that talks about Pig jobs scheduling using Oozie

Only Pig book that talks about how to submit Pig jobs using Hue

One stop shop for all Apache Pig needs

Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications.The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools.You'll discover topics such as MapReduce and why it cannot meet every business need; the features of Pig Latin such as data types for each load, store, joins, groups, and ordering; how Pig workflows can be created; submitting Pig jobs using Hue; and working with Oozie. You'll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally you'll cover different optimization techniques such as gathering statistics about a Pig script, joining strategies, parallelism, and the role of data formats in good performance.

What You Will Learn
• Use all the features of Apache Pig
• Integrate Apache Pig with other tools
• Extend Apache Pig
• Optimize Pig Latin code
• Solve different use cases for Pig Latin

Table of contents (17 chapters)

Front Matter

MapReduce and Its Abstractions

Data Types

Grunt

Pig Latin Fundamentals

Joins and Functions

Creating and Scheduling Workflows Using Apache Oozie

HCatalog

Pig Latin in Hue

Pig Latin Scripts in Apache Falcon

Macros

User-Defined Functions

Writing Eval Functions

Writing Load and Store Functions

Troubleshooting

Data Formats

Optimization

Hadoop Ecosystem Tools

Back Matter

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