The July 2025 release of Data Integration includes the following new features and enhancements.
Custom row delimiters
You can configure custom row delimiters in Source and Lookup transformations.
For more information, see Transformations
Job statistics for Amazon S3 V2, Google Cloud Storage V2, and Microsoft Azure Data Lake Storage Gen2 connections
When you view job details for a mapping task or dynamic mapping task, success row information is now available for Amazon S3 V2, Google Cloud Storage V2, and Microsoft Azure Data Lake Storage Gen2 connections.
Joining database source objects
When you create a custom or advanced relationship to join objects in a Source transformation with an Oracle or SQL Server connection, you can join objects from different schemas.
For more information, see Transformations.
Mapping task details
The Task Details page for a mapping task includes the following enhancements:
•The page displays advanced properties from source, target, and lookup connections.
•If a Target transformation uses update or upsert as the target operation, the page displays the update columns. Previously, you needed to edit the mapping task to view the update columns.
For more information, see Tasks.
Object names in Target transformations
You can define a mapping that includes different target connections when the only difference in the object names is the case. For example, you can define a Target transformation to use an Oracle connection with the object name Sample_Table, and another Target transformation to use a Snowflake connection with the object name sample_table. Previously, the object names could only be the same if they used the same case.
For more information, see Transformations.
Schema inference from local file
When you use a flat file connection in a Source, Lookup, or Target transformation, you can use a file on your local machine to generate field metadata. You can generate field metadata from a local file for single object and command sources and for single object targets and lookups.
For more information, see Transformations.
Special characters in field names
You can configure a mapping to preserve some special characters in the source and target field names. When the mapping preserves special characters, the source and target field names can include any character except the following characters: . + - = ~ ` ! $ % ^ & * ( ) [ ] { } ' \ " ; : / ? , < > | \t \r \n
The mapping replaces the listed characters with an underscore (_). Previously, the mapping replaced all characters except alphanumeric characters and underscores.
For more information, see Mappings.
Taskflows
This release includes the following enhancement for taskflows:
•Taskflows uses TLS version 1.3 as the protocol to encrypt communications between the clients and servers. It ensures confidentiality and integrity of the data that is transmitted across a connection.
TLS version 1.3 offers a faster TLS handshake and secure cipher suites.
Note: To use the TLS version 1.3 protocol on a Secure Agent, set the ssl-enabled-protocols attribute value to TLSV1.3 in the System Configuration Details section of the Runtime Environments page in Administrator.