Table of Contents

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  1. Preface
  2. Introduction to Data Integration Hub
  3. PowerCenter Mappings and Workflows
  4. Data Engineering Integration and Streaming Mapping and Workflows
  5. Data Quality Mappings and Workflows
  6. Informatica Cloud Mappings and Tasks
  7. Data Integration Hub Workflows
  8. Data Integration Hub Transformations
  9. Operational Data Store Dashboard and Reports
  10. Forms Designer
  11. Data Integration Hub Publications and Subscriptions APIs
  12. Data Extraction APIs

Developer Guide

Developer Guide

Data Engineering Integration and Streaming Mappings and Workflows in Data Integration Hub

Data Engineering Integration
and Streaming Mappings and Workflows in
Data Integration Hub

You use
Data Engineering Integration
mappings and workflows in
Data Integration Hub
publications and subscriptions with custom batch mappings. You use Data Engineering Streaming mappings and workflows in
Data Integration Hub
publications with custom multi-latency mappings.
In publication mappings, the source is the publishing application and the target is the
Data Integration Hub
publication repository. In subscription mappings, the source is the
Data Integration Hub
publication repository, and the target is the subscribing application.
You can use user-defined mapping parameters in custom batch mappings and define their values in
Data Integration Hub
or in a parameter file. You can manage the values of mapping parameters based on developer tool mappings. You cannot manage the values of built-in mapping parameters in
Data Integration Hub
. For more information about mapping parameters, see the
Informatica Developer Tool Guide
.
Data Integration Hub
does not support session parameters in the following formats:
$InputFile_
,
$OutputFile_
.

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