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Published by O'Reilly Media (edition 1), 2011
ISBN 10: 1449302645 ISBN 13: 9781449302641
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Published by O'Reilly Media, Incorporated, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Published by O'Reilly Media, Incorporated, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Published by O'Reilly Media, Incorporated, 2011
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Published by O'Reilly Media, Incorporated, 2011
ISBN 10: 1449302645 ISBN 13: 9781449302641
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Language: English
Published by O'Reilly Media 11/28/2016, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Paperback or Softback. Condition: New. Programming Pig: Dataflow Scripting with Hadoop. Book.
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Paperback. Condition: New. 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.
Language: English
Published by O'Reilly Media, Sebastopol, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Paperback. Condition: new. Paperback. 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" 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 of Programming Pig is the ideal learning tool for new and experienced users alike. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by O'Reilly Media, Inc, USA, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Language: English
Published by Sebastopol. O Reilly. 2011., 2011
ISBN 10: 1449302645 ISBN 13: 9781449302641
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Softcover. Condition: sehr gut. Softcover. gr. 8°. xiv, 203 pages. with figures and tables within the chapters. good condition. in englischer Sprache (in english).
Language: English
Published by Oreilly & Associates Inc, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Add to basketPaperback. Condition: Brand New. 2nd edition. 250 pages. 9.25x7.00x1.00 inches. In Stock.
Condition: New. This fully updated edition of 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. Num Pages: 250 pages. BIC Classification: UM. Category: (P) Professional & Vocational. Dimension: 233 x 178 x 15. Weight in Grams: 666. . 2016. 2nd Edition. Paperback. . . . .
Condition: New. This fully updated edition of 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. Num Pages: 250 pages. BIC Classification: UM. Category: (P) Professional & Vocational. Dimension: 233 x 178 x 15. Weight in Grams: 666. . 2016. 2nd Edition. Paperback. . . . . Books ship from the US and Ireland.
Language: English
Published by O'Reilly Media, Sebastopol, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. 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" 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 of Programming Pig is the ideal learning tool for new and experienced users alike. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Paperback. Condition: New. 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.