For a client-side encryption, you can configure the customer master key ID generated by AWS Key Management Service in the connection in the native environment. For a server-side encryption, you can configure the customer master key ID generated by AWS Key Management Service in the connection in the native environment and Spark engine.

For a server-side encryption, you can configure the Amazon S3-managed encryption key or AWS KMS-managed customer master key to encrypt the data while uploading the files to the buckets.

You can create an Amazon S3 file data object from the following data source formats in Amazon S3:

Intelligent Structure Model
The intelligent structure model feature for PowerExchange for Amazon S3 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.
JSON
ORC

You can compress an ORC data in the Zlib compression format when you write data to Amazon S3 in the native environment and Spark engine.

You can create an Amazon S3 target using the

Create Target

option in the target session properties.

You can use complex data types on the Spark engine to read and write hierarchical data in the Avro and Parquet file formats.

You can use Amazon S3 sources as dynamic sources in a mapping. Dynamic mapping support for PowerExchange for Amazon S3 sources is available for technical preview. Technical preview functionality is supported but is unwarranted and is not production-ready. Informatica recommends that you use these features in non-production environments only.