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Reliability and Performance with IBM DB2 Analytics Accelerator V4.1 by Dino Tonelli, Jonathan Sloan, Steve Speller, Andy Perkins, Ruiping Li, Ravi Kumar, Johannes Kern, Chris Harlander, James Guo, Anna Griner, Willie Favero, Jeff Feinsmith, Leticia Cruz, Jason Arnold, Paolo Bruni

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Database design considerations
This chapter provides information about any special database design considerations when using IBM DB2 Analytics Accelerator for IBM z/OS (DB2 Analytics Accelerator).
The DB2 Analytics Accelerator, and the underlying IBM Netezza (now IBM PureData for Analytics) technology, are independent of specific data models. As a result, it generally performs extremely well for existing data models, assuming that effective data distribution and data clustering (organization keys) strategies are taken. Typically, a random distribution ...

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