The April 2026 release of Data Integration includes the following new features and enhancements.
CLAIRE Copilot
CLAIRE Copilot has the following new features and enhancements:
•You can use CLAIRE Copilot to add and configure transformations in a mapping by choosing the Generate Transformations option and entering a prompt in your own words.
•You can use CLAIRE Copilot to generate expressions in the Aggregator and Expression transformations in mappings in SQL ELT mode that run in the Snowflake ecosystem.
For more information, see CLAIRE Copilot for Data Integration.
Data Quality assets
You can create and update the following Data Quality assets in Data Integration:
•Cleanse
•Deduplicate
•Dictionary
•Labeler
•Parse
•Rule Specification
•Verifier
The enhanced behavior enables you to create and configure a Data Quality asset and add it to a transformation wholly within Data Integration. Create Data Quality assets from the New Asset dialog box or from the transformation where you use the asset.
To create Data Quality assets, your organization must have the appropriate license.
For more information, see Data Quality Assets.
Field name length
You can create longer names for fields, objects, and schemas with names that now support 255 characters.
For more information, see Mappings.
Mapping tasks
Mapping tasks have the following new features and enhancements:
•When you configure a flat file source, lookup, or target in a mapping task, 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.
•You can configure the number of cores and the amount of memory to reserve for mapping tasks that run in an elastic runtime environment by editing the runtime options in the mapping task.
For more information, see Tasks.
Mapping task details
The mapping task details page includes the following enhancements:
•You can expand and collapse all sections on the page by clicking Expand All or Collapse All.
•The Lookup transformation details displays the lookup condition.
•The SQL transformation details displays the query type and the entered query or object name.
•The transformation advanced properties indicate whether each property was overridden in the mapping task.
For more information, see Tasks.
Multi-schema object selection
When you select a source, lookup, or target object with a Teradata or relational database connection, you can choose to show all schemas. When you show all schemas, you can select an object from a database other than the database configured in the connection.
Special characters in field names
Field names can now include special characters in mappings, mapplets, and mapping tasks.
For more information, see Mappings.
Taskflows
Taskflows include the following new features and enhancements:
•In a Data Task step, you can now override a parametrized connection for an SQL transformation. In the Input Parameters section, use the new Transformations field to select a different connection to be used at run time.
•If you are assigned the Administrator, Deployer, Designer, or Operator role, you can use the update resource to update the value of the Parameter Set field.
Source transformations include the following updates:
•When you configure an advanced relationship for multiple source objects, you can delete objects that you want to remove from the relationship.
•When you sort source data that use an ODBC or relational database connection, you can define the sort order for each field that you sort by.
For more information, see Transformations.
Hierarchy Builder transformation
You can update an existing hierarchical schema asset that is associated with the Hierarchy Builder transformation. For more information, see Hierarchy Builder transformation.
Hierarchy Parser transformation
You can update an existing hierarchical schema asset that is associated with the Hierarchy Parser transformation. For more information, see Hierarchy Parser transformation.
Transaction Control transformation
Transaction Control transformations include the following updates:
•You can define a condition that has multiple decision branches. Use a custom transaction control condition to define a condition that uses logic you can't express in other condition types.
•You can use a Transaction Control transformation in a pipeline that includes an upstream Sequence Generator transformation. However, use caution when you do so as this can result in gaps in sequence values, especially in cases involving rollbacks or when multiple mappings use the same sequence.
Intelligent structure models
This release includes the following enhancements for intelligent structure models:
•When you create an intelligent structure model, you can dynamically capture the length of the string and text data type from the uploaded sample file at design time.
•When you create an intelligent structure model using the CLAIRE engine, you can parse Avro messages originating from a Kafka source file.
•You can configure a Large Language Model connection to connect to a custom model provider through a REST API and use the chat model to process and interpret unstructured data within an intelligent structure model.