Beyond the Catalog: Making Data Quality Visible, Measurable and Actionable in Databricks

Agenda

• 15:00-15:45: Webinar presentation
• 15:45-16:00: Q&A

About this webinar

Most organisations have their data catalogued. Far fewer have it trusted.

Unity Catalog gives you a solid foundation: ownership, lineage, and access control in one place. But a catalog on its own doesn't tell you whether the numbers are right. Governance only pays off when data quality is measured continuously and the results reach the people who make decisions with that data.

This session covers the whole loop, in three parts.

The theory. How governance and data quality fit together on Unity Catalog, and why the six quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness) give data teams and the business a shared vocabulary.

The communication cycle. How to close the gap between data teams and the business: agree on what "good" means together, monitor it automatically, and report results in terms stakeholders actually understand. Quality issues should show up as tickets, not as surprises in a board meeting.

The tool. A live demo of Plainsight's Data Quality Manager, which runs natively in any Unity Catalog workspace. Watch it scan your catalog, suggest quality checks on its own, validate your Delta tables against them, and turn the results into dashboards, alerts, and documentation you can hand to the business.

You'll leave with a working model for data quality governance on Unity Catalog, and a tool you can put in your own workspace to make it real.

Who should attend?

Data platform owners, data engineers, analytics leads, and anyone on the hook for making data trustworthy in Databricks. The first half needs no deep technical background. The demo is for the practitioners.

Registration

Official registration opens soon. Contact us to be notified when seats become available.