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Data loading performance can be improved by

  1. Reducing the number of transformations

  2. Using conditional filters

  3. Droping Indexes & Key Constraints before loading

  4. Using Multi - pass reads from source

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Explanation

Reducing transformations minimizes processing overhead, conditional filters reduce data volume early in the pipeline, and dropping indexes/constraints before loading significantly speeds up the insert operation. Multi-pass reads from source would degrade performance by repeatedly accessing the source system.