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  • Common Content for Data Engineering 10.2.1
  • All Products

Table of Contents

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  1. Abstract
  2. Technical Preview
  3. Installation and Upgrade
  4. 10.2.1 Fixed Limitations and Closed Enhancements
  5. 10.2.1 Known Limitations
  6. Informatica Global Customer Support

Big Data Release Notes (10.2.1)

Big Data Release Notes (10.2.1)

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Technical Preview for Big Data Streaming

Technical Preview for Big Data Streaming

Big Data Streaming version 10.2.1 includes functionality that is available for technical preview. Technical preview functionality is supported 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 GA 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.

Python Transformation

Effective in version 10.2.1, the Python transformation is available for technical preview. Use the Python transformation to execute Python code in a mapping that runs on the Spark engine.
You can use a Python transformation to implement a machine model on the data that you pass through the transformation. For example, use the Python transformation to write Python code that loads a pre-trained model. You can use the pre-trained model to classify input data or create predictions.

Complex Data Type in Java Transformation

Effective in version 10.2.1, when you use the Java transformation, you can use complex data types to process hierarchical data. The complex data type support in the Java transformation is available for technical preview.

Map Data Type

Effective in version 10.2.1, you can use map data type to generate and process map data on the Spark engine. The map data type support is available for technical preview.
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