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Publicado por O'Reilly Media (edition 2), 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Idioma: Inglés
Publicado por O'Reilly Media, Incorporated, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Idioma: Inglés
Publicado por O'Reilly Media 11/28/2016, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Añadir al carritoPaperback or Softback. Condición: New. Programming Pig: Dataflow Scripting with Hadoop. Book.
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Añadir al carritoPaperback. Condición: 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.
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Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: 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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Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 250 pages. 9.25x7.00x1.00 inches. In Stock.
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Añadir al carritoCondición: 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. . . . .
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Añadir al carritoCondición: 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.
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Añadir al carritoPaperback. Condición: 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.
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Añadir al carritoCondición: 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 .
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 57,45
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'reilly Media Dez 2016, 2016
ISBN 10: 1491937092 ISBN 13: 9781491937099
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 45,54
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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.