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

    Cloudera CDP

    Hortonworks HDP


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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