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. Data Privacy Management Service
  12. Enterprise Data Preparation Service
  13. Interactive Data Preparation Service
  14. Informatica Cluster Service
  15. Mass Ingestion Service
  16. Metadata Access Service
  17. Metadata Manager Service
  18. Model Repository Service
  19. PowerCenter Integration Service
  20. PowerCenter Integration Service Architecture
  21. High Availability for the PowerCenter Integration Service
  22. PowerCenter Repository Service
  23. PowerCenter Repository Management
  24. PowerExchange Listener Service
  25. PowerExchange Logger Service
  26. SAP BW Service
  27. Search Service
  28. System Services
  29. Test Data Manager Service
  30. Test Data Warehouse Service
  31. Web Services Hub
  32. Application Service Upgrade
  33. Appendix A: Application Service Databases
  34. Appendix B: Connecting to Databases from Windows
  35. Appendix C: Connecting to Databases from UNIX or Linux
  36. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Application Service Guide

Application Service Guide

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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