Language: English
Published by O'Reilly Media, Incorporated, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by O'Reilly Media, Incorporated, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by O'Reilly Media (edition 2), 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Condition: New.
Condition: As New. Unread book in perfect condition.
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.
Condition: New.
Condition: New.
US$ 37.52
Quantity: 1 available
Add to basketCondition: New.
US$ 38.15
Quantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Oreilly & Associates Inc, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Seller: Revaluation Books, Exeter, United Kingdom
US$ 48.81
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2nd edition. 250 pages. 9.25x7.00x1.00 inches. In Stock.
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.
Condition: New. 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 .