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 Integration Hub Big Data

Data Integration Hub Big Data

Publish and subscribe to high volumes of data, data streams, and data that you want to store for a long period of time with
Data Integration Hub
. For example, store business intelligence data that you need to review over time on the
Data Integration Hub
Hadoop publication repository, or publish from and subscribe to Hadoop Distributed File System (HDFS) and Hive data warehouses.
If you want to keep the published data in the Hadoop publication repository after the data is consumed by all subscribers, you can configure
Data Integration Hub
not to delete published data from the repository.
You can use both automatic mappings and custom mappings to publish and consume big data with
Data Integration Hub
. For custom mapping publications you can use Informatica Data Engineering Integration mappings and workflows and Informatica Data Engineering Streaming mappings. For custom mapping subscriptions you use Informatica Data Engineering Integration mappings and workflows.

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