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

Understanding Real-time Data

Understanding Real-time Data

You can process the following types of real-time data:
  • Messages and message queues
    . Process messages and message queues from WebSphere MQ, JMS, MSMQ, SAP, TIBCO, and webMethods sources. You can read from messages and message queues. You can write to messages, messaging applications, and message queues.
  • Web service messages
    . Receive a message from a web service client through the Web Services Hub and transform the data. You can write the data to a target or send a message back to a web service client.
  • Change data that PowerExchange captures from heterogeneous sources
    . Extract change data that PowerExchange captures from a variety of relational and non-relational sources on i5/OS, Linux, UNIX, Windows, and z/OS systems. PowerExchange change data capture (CDC) integrates with PowerCenter to capture, transform, and deliver change data across your enterprise in real-time mode.


Updated August 27, 2020