Effective in version 10.2.1, PowerExchange for Microsoft Azure Blob Storage includes the following functionality:

You can run mappings on the Spark engine.
You can read and write .csv, Avro, and Parquet files when you run a mapping on the Spark engine and in the native environment.
You can read and write JSON and intelligent structure files when you run a mapping on the Spark engine.
You can read a directory when you run a mapping on the Spark engine.
You can generate or skip header rows when you run a mapping in the native environment. On the Spark engine, the header row is created by default.
You can append an existing blob. The append operation is applicable to only to the append blob and in the native environment.
You can override the blob or container name. In the Blob Container Override field, specify the container name or sub-folders in the root container with the absolute path.
You can read and write .csv files compressed in the gzip format.

All new functionality for PowerExchange for Microsoft Azure Blob Storage is available for technical preview. Technical preview functionality is supported but is not production-ready. Informatica recommends that you use in non-production environments only.

For more information, see the

Informatica PowerExchange for Microsoft Azure Blob Storage 10.2.1 User Guide

.