Session

Making Metrics Matter - Semantic Models in Databricks

For years, semantic models been simplifying analytics in our quest for self-serve analytical nirvana, but they often felt locked away in old BI tools. Unity Catalog Metric Views bring that promise directly into the Lakehouse, letting teams define consistent metrics once and use them across a range of downstream consumers.

In this session we will trace the evolution of semantic models, then get hands-on with building, extending, and exposing Metric Views. You will see how they connect seamlessly to dashboards, power conversational queries with Genie, and integrate with advanced tools for richer analysis. We'll then loop back and see what we can do with more advanced features and finally, how we can use Metric Views as a template to push to other tools.

Join us to learn how Metric Views make trusted, reusable business logic a first-class part of your data platform, and put Databricks AI/BI on the Analytics Map.

Simon Whiteley

Data Platform MVP. Databricks Beacon. Cloud Architect, Nerd

London, United Kingdom

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