Table of Contents

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  1. Preface
  2. Analyst Service
  3. Catalog Service
  4. Content Management Service
  5. Data Integration Service
  6. Data Integration Service Architecture
  7. Data Integration Service Management
  8. Data Integration Service Grid
  9. Data Integration Service REST API
  10. Data Integration Service Applications
  11. Enterprise Data Preparation Service
  12. Interactive Data Preparation Service
  13. Informatica Cluster Service
  14. Mass Ingestion Service
  15. Metadata Access Service
  16. Metadata Manager Service
  17. Model Repository Service
  18. PowerCenter Integration Service
  19. PowerCenter Integration Service Architecture
  20. High Availability for the PowerCenter Integration Service
  21. PowerCenter Repository Service
  22. PowerCenter Repository Management
  23. PowerExchange Listener Service
  24. PowerExchange Logger Service
  25. SAP BW Service
  26. Search Service
  27. System Services
  28. Test Data Manager Service
  29. Test Data Warehouse Service
  30. Web Services Hub
  31. Application Service Upgrade
  32. Appendix A: Application Service Databases
  33. Appendix B: Connecting to Databases from Windows
  34. Appendix C: Connecting to Databases from UNIX or Linux
  35. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Configuring Interactive Data Preparation Service on Grid for Scalability

Configuring
Interactive Data Preparation Service
on Grid for Scalability

The
Interactive Data Preparation Service
requires most memory and CPU resources for in-memory database to support high performance interactive data preparation. When too many users try to prepare data simultaneously, performance of the interactive preparation can decline. The administrator might need to upgrade the hardware to improve the performance levels. To support increased preparation data volumes, the administrator can achieve horizontal scaling by creating a
Interactive Data Preparation Service
Grid with multiple service nodes.
Each user is assigned a node in the grid using round-robin method to distribute the load across the nodes. Homogeneous combinations of nodes are allowed. You can combine nodes with the same operating system, same CPU, same memory, and security setup. This allows for seamless restoration of data after node failures, enabling the
Interactive Data Preparation Service
to be highly available.
  1. Install the
    Enterprise Data Preparation
    binaries on every node that is part of the grid.
  2. Select Grid while configuring the
    Interactive Data Preparation Service
    .
  3. Ensure that all of the folder locations mentioned in the configuration are present in all the nodes.
You can add or remove nodes dynamically from a grid. When a node is added into an active grid, the
Interactive Data Preparation Service
process does not start automatically. The
Enterprise Data Preparation
administrator must enable the process in the
Processes
tab of the
Interactive Data Preparation Service
to start the process in the node.

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