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IBM Data Engine for Hadoop and Spark /
This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power Systems™ platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Poughkeepsie, NY :
IBM Corporation, International Technical Support Organization,
2016.
|
| Edición: | First edition (August 2016). |
| Colección: | IBM redbooks.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Quintero, Dino, |e author. | |
| 245 | 1 | 0 | |a IBM Data Engine for Hadoop and Spark / |c Dino Quintero, Luis Bolinches, Aditya Gandakusuma Sutandyo, Nicolas Joly, Reinaldo Tetsuo Katahira. |
| 250 | |a First edition (August 2016). | ||
| 264 | 1 | |a Poughkeepsie, NY : |b IBM Corporation, International Technical Support Organization, |c 2016. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IBM redbooks | |
| 588 | |a Description based on online resource; title from cover (viewed September 14, 2016). | ||
| 500 | |a "This edition applies to the following software: IBM Platform Symphony Advanced Edition V7.1; IBM Open Platform for Apache Hadoop V4.1.0.0; Apache Ambari V2.1.0.0; IBM Spectrum Scale Advanced Edition V4.1.1.2"--Front matter. | ||
| 500 | |a "SG24-8359-00"--Back cover. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power Systems™ platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 630 | 0 | 7 | |a Spark (Electronic resource : Apache Software Foundation) |2 fast |0 (OCoLC)fst01938143 |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Cloud computing. | |
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| 650 | 0 | |a Business enterprises |x Computer networks. | |
| 650 | 0 | |a Management |x Data processing. | |
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| 650 | 6 | |a Entreprises |x Réseaux d'ordinateurs. | |
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| 650 | 7 | |a Cloud computing. |2 fast |0 (OCoLC)fst01745899 | |
| 700 | 1 | |a Bolinches, Luis, |e author. | |
| 700 | 1 | |a Gandakusuma Sutandyo, Aditya, |e author. | |
| 700 | 1 | |a Joly, Niicolas |c (IBM pre-sales architect), |e author. | |
| 700 | 1 | |a Katahira, Reinaldo Tetsuo, |e author. | |
| 830 | 0 | |a IBM redbooks. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780738441931/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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