Learn how to reduce query response time from hours to seconds, support real time data warehousing, optimize your storage and lower operating costs.

Today, data warehouse users face novel and demanding challenges. Data is growing rapidly due to diverse market forces. User populations are rising sharply to support new activities like Business Intelligence and self service applications. These demands not only push data warehouse scale to new data size frontiers, they also generate richer data relationships and increasingly dynamic and complex queries against them.

With version 9 of IBM’s DB2 data warehouse on Linux, Unix, and Windows, IBM offers an innovative set of features that work together to provide unmatched data clustering and storage density, to benefit the many types of data warehouse queries.

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