AI-assisted preparation
Use AI assistance to describe ingestion and transformation work instead of starting every pipeline from a blank page.
Data foundation / GenAI ETL pipeline building
Bring data together faster with AI-assisted ingestion and transformation across files, systems, warehouses, and other business sources.
For data engineers, developers and analytics teams.
Prepared data for analytics and reporting
What your team can do
Use AI assistance to describe ingestion and transformation work instead of starting every pipeline from a blank page.
Bring files, systems and warehouses into the preparation workflow with explicit source and transformation context.
Review the proposed work and how the data is prepared before using it downstream.
How the work connects
Specify the source data and the output your team needs.
Review the proposed ingestion and transformation steps.
Apply the agreed preparation workflow.
Check the resulting data before it feeds analytics.
Discuss source access, shared definitions, output requirements and review responsibilities before planning an implementation. The workflow above is an overview, not a live product session.
Business applications
Frequently asked questions
Data engineers, developers and analytics teams working on genai etl and its surrounding data workflow.
Bring your files & systems, warehouse sources, transformation requirements, a representative business question and the review requirements your team needs to meet.
Visit the product overview for the connected product map and reference-data ontology model, or talk to our team about your specific workflow.
Discuss GenAI ETL
Share your data sources, users and output requirements so we can discuss how this product fits.
Talk to Our Team