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 What is EPUB 3? by Alan Gates, Daniel Dai
Cover of the book Node: Up and Running by Alan Gates, Daniel Dai
Cover of the book Understanding Context by Alan Gates, Daniel Dai
Cover of the book vi Editor Pocket Reference by Alan Gates, Daniel Dai
Cover of the book Statistics in a Nutshell by Alan Gates, Daniel Dai
Cover of the book SQL Hacks by Alan Gates, Daniel Dai
Cover of the book Hands-On Machine Learning with Scikit-Learn and TensorFlow by Alan Gates, Daniel Dai
Cover of the book BioBuilder by Alan Gates, Daniel Dai
Cover of the book Canvas Pocket Reference by Alan Gates, Daniel Dai
Cover of the book iPhone: The Missing Manual by Alan Gates, Daniel Dai
Cover of the book Virtualization: A Manager's Guide by Alan Gates, Daniel Dai
Cover of the book Programming ASP.NET by Alan Gates, Daniel Dai
Cover of the book Learning MySQL by Alan Gates, Daniel Dai
Cover of the book Dreamweaver 8: The Missing Manual by Alan Gates, Daniel Dai
Cover of the book Going GAS 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