Support Changes
Read this section to learn about support changes in version 10.5.2.
Technical Preview
Read this section to learn about technical preview functionality that is initiated or lifted in version 10.5.2.
Technical Preview Initiated
Effective in version 10.5.2, Informatica includes the following functionality for technical preview:
- V2 MetaDex scanners and Enterprise Data Catalog resources
- You can extract metadata from the following V2 metadata sources and resources:
- - Informatica Intelligent Cloud Services - Cloud Data Integration V2 MetaDex scanner
For more information, see the MetaDex Scanner Configuration Guide.
- - Salesforce V2 MetaDex scanner
For more information, see the MetaDex Scanner Configuration Guide.
- - Amazon S3 V2 resource
The resource includes implementation and performance enhancements such as custom partition detection and partition pruning.
For more information, see the Enterprise Data Catalog Scanner Configuration Guide.
- - Azure Data Lake Storage Gen2 V2 resource.
The resource includes implementation and performance enhancements such as custom partition detection and partition pruning.
For more information, see the Enterprise Data Catalog Scanner Configuration Guide.
Technical preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. 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.
Technical Preview Lifted
Effective in version 10.5.2, Informatica lifted the following functionality from technical preview:
- PowerExchange for Microsoft Azure Data Lake Storage Gen2
- Effective in version 10.5.2, Informatica lifted the following functionality from technical preview:
- - You can read objects stored in subdirectories in Microsoft Azure Data Lake Storage Gen2 in the native environment or on the Spark engine.
- - You can use wildcard characters to specify the source directory name or the source file name when you read data from a flat file or complex file in the native environment or on the Spark engine.
Dropped Support
Read this section to learn what support is dropped for Enterprise Data Catalog.
Resources
Effective in version 10.5.2, Enterprise Data Catalog dropped support for the following resource versions that were lower than 10.2:
- •Informatica Platform
- •PowerCenter
- •Informatica Data Quality