Sponsored by: Quest Software | From Logical Model to Databricks: Automating Data Product Publishing at Scale
Overview
| Experience | In Person |
|---|---|
| Track | Data Sharing & Collaboration |
| Industry | Enterprise Technology |
| Technologies | Data Marketplace, AI/BI |
| Skill Level | Intermediate |
What if data products could be built in days, not months — and deployed directly into Databricks? We'll introduce the Automated Data Product Factory (ADPF): a model-first framework that transforms how organizations define, govern, and publish data products at scale. We’ll walk through a live use case showing how to automate data product publishing into Databricks and Unity Catalog, using logical specifications to accelerate time-to-value across your data landscape—without rebuilding everything from scratch on each platform. You'll walk away understanding: How the ADPF generates logical data product specs How those specs power automated publishing into Databricks & Unity Catalog What a model-first strategy means for governance at scale Best for: CDOs, CDAOs, and data leaders accountable for AI-ready data; Data Engineers and Architects scaling delivery across hybrid environments; and Business Users ready to create data products tied to real outcomes, without going to IT.
Session Speakers
Sue Laine
/Field CTO
Quest Software