Beginning Apache Pig

Big Data Processing Made Easy

Authors: Vaddeman, Balaswamy

  • 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
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eBook $9.99
$19.99 (listprice)
price for USA (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2337-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $12.50
$29.99 (listprice)
price for USA
valid through November 28, 2017
  • ISBN 978-1-4842-2336-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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

About the authors

Balaswamy Vaddeman, Thinker, Blogger, Serious and Self-motivated Big data evangelist with 9 years of experience in IT and 4 years of experience in Big data space. My Big data experience covers multiple areas like delivery of analytical applications, product development, consulting, training, book reviews, hackathons and mentoring and helping people on forums. I have proved myself while delivering analytical applications in retail, banking and finance domain in 3 aspects (Development, Administration and Architecture) of Hadoop related technologies. At Startup Company, I had developed a Hadoop based product that was used for delivering of analytical applications without writing code. In 2013 I had won Hadoop Hackathon event for Hyderabad conducted by Cloudwick technologies. Being top contributor at stackoverflow.com, I helped many people on big data at multiple websites like stackoverflow.com and quora.com. With so much passion on big data I went ahead as independent trainer and consultant to train hundreds of people and to set big data teams in couple of companies.

Table of contents (17 chapters)

Buy this book

eBook $9.99
$19.99 (listprice)
price for USA (gross)
valid through November 28, 2017
  • ISBN 978-1-4842-2337-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $12.50
$29.99 (listprice)
price for USA
valid through November 28, 2017
  • ISBN 978-1-4842-2336-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Beginning Apache Pig
Book Subtitle
Big Data Processing Made Easy
Authors
Copyright
2016
Publisher
Apress
Copyright Holder
Balaswamy Vaddeman
eBook ISBN
978-1-4842-2337-6
DOI
10.1007/978-1-4842-2337-6
Softcover ISBN
978-1-4842-2336-9
Edition Number
1
Number of Pages
XXIII, 274
Number of Illustrations and Tables
34 b/w illustrations, 35 illustrations in colour
Topics