Table of Contents


  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 and Cluster Distributions that Support Data Preview

Connections and Cluster Distributions that Support Data Preview

When you preview data using the Spark engine, configure the mapping with a supported connection and Hadoop distribution.


You can use the Spark engine to preview data on mappings that use the following connections:




    JDBC configured for Sqoop

When you configure a mapping that uses a JDBC connection, you can use a generic JDBC connection, or use the specialized drivers for Oracle or Teradata.

Cluster Distributions

You can preview data in mappings configured to run with the following distributions:

    Amazon EMR

    Azure HDInsight*

    Cloudera CDH

    Hortonworks HDP


* Effective in version 10.2.2, previewing data on these distributions is supported for technical preview only.
Technical preview functionality is supported for evaluation purposes but is unwarranted and is not production-ready. Informatica recommends that you use in non-production environments only. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support.
Before you preview data on Amazon EMR, you must configure the
file on all nodes in the cluster to include the machine and IP address of the Data Integration Service.


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