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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 targets

Optimizing targets

You can optimize performance by eliminating target bottlenecks. The most common performance bottleneck occurs when the task writes to a target.
Network latency, performance issues with the target instance type used for the database or data warehouse, or problems during heavy loading operations can cause target bottlenecks.

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