Session

Sponsored by: Quest Software | From Logical Model to Databricks: Automating Data Product Publishing at Scale

Overview

ExperienceIn Person
TrackData Sharing & Collaboration
IndustryEnterprise Technology
TechnologiesData Marketplace, AI/BI
Skill LevelIntermediate

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