Programming pig dataflow scripting with Hadoop
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 w...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing, [China] ; Sebastopol, CA :
O'Reilly Media, Inc
2017.
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630461506719 |
| Sumario: | 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 of Programming Pig is the ideal learning tool for new and experienced users alike. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (345 pages) : illustrations, tables |
| ISBN: | 9781491937044 9781491937082 9781491937068 |
