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210123 ||| eng |
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|a Dufrasne, Bert
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| 245 |
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|a IBM FlashSystem A9000R Product Guide (Version 12.3.2)
|c Dufrasne, Bert
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| 250 |
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|a 1st edition
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| 260 |
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|b IBM Redbooks
|c 2019
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| 300 |
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|a 40 pages
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| 700 |
1 |
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|a Solewin, Stephen
|e author
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| 700 |
1 |
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|a Anderloni, Francesco
|e author
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| 700 |
1 |
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|a Eriksson, Roger
|e author
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Made available through: Safari, an O'Reilly Media Company
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| 776 |
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|z 0738457353
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| 776 |
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|z 9780738457352
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| 856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9780738457352/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 000
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| 520 |
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|a This IBM® Redbooks® Product Guide is an overview of the main characteristics, features, and technology that are used in IBM FlashSystem® A9000R Model 415 and Model 425, with IBM FlashSystem A9000R Software V12.3.2. Software version 12.3.2, with Hyper-Scale Manager version 5.6 or later, introduces support for VLAN tagging and port trunking. IBM FlashSystem A9000R is a grid-scale, all-flash storage platform designed for industry leaders with rapidly growing cloud storage and mixed workload environments to help drive your business into the cognitive era. FlashSystem A9000R provides consistent, extreme performance for dynamic data at scale, integrating the microsecond latency and high availability of IBM FlashCore® technology. The rack-based offering comes integrated with the world class software features that are built with IBM Spectrum"!Accelerate. For example, comprehensive data reduction, including inline pattern removal, data deduplication, and compression, helps lower total cost of ownership (TCO) while the grid architecture and IBM Hyper-Scale framework simplify and automate storage administration. The A9000R features always on data reduction and now offers intelligent capacity management for deduplication. Ready for the cloud and well-suited for large deployments, FlashSystem A9000R delivers predictable high performance and ultra-low latency, even under heavy workloads with full data reduction enabled. As a result, the grid-scale architecture maintains this performance by automatically self-optimizing workloads across all storage resources without manual intervention
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