Table of Contents


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

Overview of Data Preview

Overview of Data Preview

You can preview data within a mapping that runs on the Spark engine in the Developer tool. You can choose sources and transformations as preview points in a mapping. Previewing data helps to design and debug big data mappings.
The Data Integration Service passes the request to the Spark engine when you preview data with complex types, a Python transformation, or another transformation supported only on the Spark engine. When you view the results, you can view the complex data types, the schema, and values. You can also navigate through the structure with breadcrumbs. You can export the results to a JSON file.
Data preview on the Spark engine is available for technical preview.
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.
Data preview is supported for the native environment and the Spark engine only. You cannot preview data in a mapping configured for the Databricks Spark engine.


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