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Beginning Apache Pig: Big Data Processing Made Easy - Softcover

Vaddeman, Balaswamy

 
9781484223369: Beginning Apache Pig: Big Data Processing Made Easy
Softcover
ISBN 10: 1484223365 ISBN 13: 9781484223369
Verlag: Apress, 2016

Inhaltsangabe

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 asgathering 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 Latin
Who This Book Is For
All levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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 independenttrainer and consultant to train hundreds of people and to set big data teams in couple of companies.

Von der hinteren Coverseite

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 Latin

Who This Book Is For

All levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Apress
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
1484223365
ISBN 13 
9781484223369
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
300
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