Programming Pig

Dataflow Scripting with Hadoop

Nonfiction, Computers, Database Management, Data Processing
Cover of the book Programming Pig by Alan Gates, Daniel Dai, O'Reilly Media
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alan Gates, Daniel Dai ISBN: 9781491937044
Publisher: O'Reilly Media Publication: November 9, 2016
Imprint: O'Reilly Media Language: English
Author: Alan Gates, Daniel Dai
ISBN: 9781491937044
Publisher: O'Reilly Media
Publication: November 9, 2016
Imprint: O'Reilly Media
Language: English

For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets.

Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. You’ll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.

  • Delve into Pig’s data model, including scalar and complex data types
  • Write Pig Latin scripts to sort, group, join, project, and filter your data
  • Use Grunt to work with the Hadoop Distributed File System (HDFS)
  • Build complex data processing pipelines with Pig’s macros and modularity features
  • Embed Pig Latin in Python for iterative processing and other advanced tasks
  • Use Pig with Apache Tez to build high-performance batch and interactive data processing applications
  • Create your own load and store functions to handle data formats and storage mechanisms
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets.

Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. You’ll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.

More books from O'Reilly Media

Cover of the book Applied Akka Patterns by Alan Gates, Daniel Dai
Cover of the book High Performance iOS Apps by Alan Gates, Daniel Dai
Cover of the book Hadoop: The Definitive Guide by Alan Gates, Daniel Dai
Cover of the book Reactive Programming with RxJava by Alan Gates, Daniel Dai
Cover of the book Droid 2: The Missing Manual by Alan Gates, Daniel Dai
Cover of the book The Manager's Path by Alan Gates, Daniel Dai
Cover of the book iPhone Game Development by Alan Gates, Daniel Dai
Cover of the book Head First Ajax by Alan Gates, Daniel Dai
Cover of the book Org Design for Design Orgs by Alan Gates, Daniel Dai
Cover of the book Learning DCOM by Alan Gates, Daniel Dai
Cover of the book Regular Expressions Cookbook by Alan Gates, Daniel Dai
Cover of the book What Is HTML5? by Alan Gates, Daniel Dai
Cover of the book The Architecture of Privacy by Alan Gates, Daniel Dai
Cover of the book Graphics and Animation on iOS by Alan Gates, Daniel Dai
Cover of the book Programming HTML5 Applications by Alan Gates, Daniel Dai
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy