Announcing the Agentic Catalog Experience in Amazon Quick
AWS puts agents to work on data discovery—auto-creating catalog assets from natural language queries.
Why it matters
Amazon Quick's agentic catalog experience automates metadata discovery and dataset creation, moving agents from research into production data-engineering workflows. This is agent infrastructure shipping at scale inside an AWS product, relevant to practitioners building data pipelines and teams evaluating agent deployment readiness.
The key facts
10 to knowAmazon Quick now includes Agentic Catalog Experience
Agents discover upstream catalog assets in natural language
Auto-creates Datasets and Topics with inherited semantics
Currently in preview for AWS Glue Data Catalog and Databricks Unity Catalog
Targets data curators as primary users
Agents performing multi-step metadata work in production context
Amazon Quick introduces Agentic Catalog Experience
Natural language discovery of upstream catalog assets
Now in preview for AWS Glue Data Catalog and Databricks Unity Catalog
Targets data curators as primary user group
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets and Topics with inherited semantics. Now in preview for AWS Glue Data Catalog and Databricks Unity Catalog.