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210123 ||| eng |
| 020 |
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|a 0738441686
|
| 050 |
|
4 |
|a QA76.9.C55
|
| 100 |
1 |
|
|a Quintero, Dino
|
| 245 |
0 |
0 |
|a Implementing an optimized analytics solution on IBM Power Systems
|c Dino Quintero, Kanako Harada, Reinaldo Tetsuo Katahira, Antonio Moreira de Oliveira Neto, Robert Simon, Brian Yaeger
|
| 250 |
|
|
|a First edition
|
| 260 |
|
|
|a Poughkeepsie, NY
|b IBM Corporation, International Technical Support Organization
|c 2016
|
| 300 |
|
|
|a 1 volume
|b illustrations
|
| 505 |
0 |
|
|a Includes bibliographical references
|
| 653 |
|
|
|a Client/server computing / fast
|
| 653 |
|
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|a Architecture client-serveur (Informatique)
|
| 653 |
|
|
|a IBM Power systems / fast
|
| 653 |
|
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|a IBM Power systems / http://id.loc.gov/authorities/names/n2011007151
|
| 653 |
|
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|a Client/server computing / http://id.loc.gov/authorities/subjects/sh93000502
|
| 700 |
1 |
|
|a Harada, Kanako
|e author
|
| 700 |
1 |
|
|a Katahira, Reinaldo Tetsuo
|e author
|
| 700 |
1 |
|
|a Oliveira Neto, Antonio Moreira de
|e author
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 490 |
0 |
|
|a IBM redbooks
|
| 500 |
|
|
|a "Analytics, Power Systems.". - Number from resource description page: SG24-8291-00
|
| 776 |
|
|
|z 9780738441689
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9780738441689/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 000
|
| 520 |
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|a This IBM® Redbooks® publication addresses topics to use the virtualization strengths of the IBM POWER8® platform to solve clients' system resource utilization challenges and maximize systems' throughput and capacity. This book addresses performance tuning topics that will help answer clients' complex analytic workload requirements, help maximize systems' resources, and provide expert-level documentation to transfer the how-to-skills to the worldwide teams. This book strengthens the position of IBM Analytics and Big Data solutions with a well-defined and documented deployment model within a POWER8 virtualized environment, offering clients a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted toward technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing analytics solutions and support on IBM Power Systems™
|