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  1. Preface
  2. Data Integration performance tuning overview
  3. Optimizing targets
  4. Optimizing sources
  5. Optimizing mappings
  6. Optimizing mapping tasks
  7. Optimizing advanced clusters
  8. Optimizing system performance

Data Integration Performance Tuning

Data Integration Performance Tuning

Optimizing system performance

Optimizing system performance

After you tune the source, target, mapping, and mapping task, consider tuning the system to prevent system bottlenecks and optimize performance.
Data Integration
uses system resources to process transformations, run tasks, and read and write data.
Data Integration
also uses system memory to create cache files for transformations such as the Aggregator, Joiner, Lookup, Sorter, and Rank transformations.

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