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Processing large volumes of data

The ability to process large volumes of data in a short period of time depends on all aspects of the flow and the environment being optimized for maximum throughput and performance. Performance tuning and optimization are iterative processes that begin with job design and unit tests, proceed through integration and volume testing, and continue throughout the production life cycle of the application. Here are some performance pointers:


PDF This topic is also in the IBM WebSphere DataStage and QualityStage Parallel Job Advanced Developer Guide.

Update icon Last updated: 2008-09-30