Learning Apache Pig


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Programming Pig


Programming Pig

Author: Alan Gates

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2011-10-06


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This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps programmers describe and run large data projects on Hadoop. With Pig, they can analyze data without having to create a full-fledged application--making it easy for them to experiment with new data sets.

Learning Apache Pig


Learning Apache Pig

Author: Tom Hanlon

language: en

Publisher:

Release Date: 2016


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"In this Learning Apache Pig training course, expert author Tom Hanlon will teach you how to explore, manipulate, and analyze data stored on a Hadoop cluster. This course is designed for the absolute beginner, meaning no experience with Pig is required. You will start by learning how to use Pig, then jump into learning about Pig and HCatalog. From there, Tom will teach you about advanced Pig, including Pig scripts, parameters in Pig scripts, and Pig and Oozie. Finally, this video tutorial will teach you about Pig user defined functions and streaming."--Resource description page.

Beginning Apache Pig


Beginning Apache Pig

Author: Balaswamy Vaddeman

language: en

Publisher: Apress

Release Date: 2016-12-16


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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 LatinWho This Book Is ForAll levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators