Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Connections Overview

Connections Overview

Create a connection to access non-native environments, Hadoop and Databricks. If you access HBase, HDFS, or Hive sources or targets in the Hadoop environment, you must also create those connections. You can create the connections using the Developer tool, Administrator tool, and infacmd.
You can create the following types of connections:
Hadoop connection
Create a Hadoop connection to run mappings in the Hadoop environment.
HBase connection
Create an HBase connection to access HBase. The HBase connection is a NoSQL connection.
HDFS connection
Create an HDFS connection to read data from or write data to the HDFS file system on a Hadoop cluster.
Hive connection
Create a Hive connection to access Hive as a source or target. You can access Hive as a source if the mapping is enabled for the native or Hadoop environment. You can access Hive as a target if the mapping runs on the Blaze engine.
JDBC connection
Create a JDBC connection and configure Sqoop properties in the connection to import and export relational data through Sqoop.
Databricks connection
Create a Databricks connection to run mappings in the Databricks environment.
For information about creating connections to other sources or targets such as social media web sites or Teradata, see the respective PowerExchange adapter user guide for information.


Updated September 28, 2020