Table of Contents

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  1. Preface
  2. Understanding Pipeline Partitioning
  3. Partition Points
  4. Partition Types
  5. Pushdown Optimization
  6. Pushdown Optimization and Transformations
  7. Real-time Processing
  8. Commit Points
  9. Row Error Logging
  10. Workflow Recovery
  11. Stopping and Aborting
  12. Concurrent Workflows
  13. Grid Processing
  14. Load Balancer
  15. Workflow Variables
  16. Parameters and Variables in Sessions
  17. Parameter Files
  18. FastExport
  19. External Loading
  20. FTP
  21. Session Caches
  22. Incremental Aggregation
  23. Session Log Interface
  24. Understanding Buffer Memory
  25. High Precision Data

Advanced Workflow Guide

Advanced Workflow Guide

Working with Databases

Working with Databases

You can configure pushdown optimization for the following databases:
  • Amazon Redshift
  • Greenplum
  • Google BigQuery
  • IBM DB2
  • Microsoft Azure SQL Data Warehouse
  • Microsoft SQL Server
  • Netezza
  • Oracle
  • PostgreSQL
  • SAP HANA
  • Snowflake
  • Sybase ASE
  • Teradata
  • Vertica
When you push transformation logic to a database, the database may produce different output than the Integration Service.

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