Programming Pig: Dataflow Scripting with Hadoop

by Alan Gates

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application―making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.

Genres: Computer Science, Programming, Technology, Software

220 pages, Paperback

First published September 29, 2011

Reviews

[Bao Nguyen · Rating 4 out of 5]

This book is very useful if you want to have a quick look into Apache Pig and Pig Latin.

[Gavin · Rating 2 out of 5]

Another totally readable introduction to something new, without a full StackOverflow safety net yet. (Pig is very good, like an imperative, Pythonic SQL: an omnivorous abstraction over MapReduce with Pythonic data structures, optional Java typing, optional schema declaration, fully extensible in Java, Python, etc. Pig is not Turing-complete, but offers several no-fuss ways to extend and delegate, including this beam of sunlight. I'm porting a bunch of SAS and MapReduce code into Pig Latin atm; the job can sometimes be done in 10 times fewer lines.) However, I read this in the slightly dazed and impermeable way that I read anything I am to read for work.

[Free!]

[John · Rating 3 out of 5]

A good programming book exposes me to many of the fundamentals of the language. A great programming book has me feeling ready to go do something in that language. This was a good programming book and nothing more.

[Joe Mctee · Rating 4 out of 5]

Another book I used in preparation for my Hadoop talk. I liked the examples, but found some of the configuration descriptions to be a bit lacking.

Still recommend the book, since once you get past configuration issues, the examples are helpful.

[Petras · Rating 3 out of 5]

A nice introduction into Pig, a dataflow scripting language for Hadoop. Since Pig is being actively developed, some information is already outdated, but it gives enough overview about what Pig is about.

[David · Rating 4 out of 5]

Short book, but dense content that demands a slow careful reading. Took a long time to finish this one.

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