You can use the data integration agent to create an ELT pipeline that transforms data. The pipeline can perform operations on the data. For example, it can aggregate or filter data, or it can join multiple data sets. You can also view the SQL code that the ELT pipeline uses to generate the transformed table.
CLAIRE GPT integrates with Data Governance and Catalog to create ELT pipelines that transform the data that you store in the catalog. To edit, save, and run the pipeline, open it as a mapping in Data Integration. The mapping represents the data flow logic in the pipeline as a series of transformations.
Note: You can't use CLAIRE GPT to edit existing mappings in Data Integration.
You can save sample data in a CSV file for future reference. Due to privacy guidelines, CLAIRE GPT doesn't save the sample data. If you refresh the browser or log out of CLAIRE GPT, the sample data will no longer be visible in the conversation, and you will be unable to download it.