AtScale and Databricks have been working together for years to enable customers the ability to visually model data and provide a “ Diamond Layer” in the Databricks Lakehouse. Watch this video demo to see for yourself the power of combining AtScale’s Semantic Layer with Databricks Lakehouse for blazing fast self-service analytics at Enterprise-scale.
You’ll learn how to:
Create a multidimensional semantic model pulling in whatever metrics are needed from your entire Databricks SQL datastore.
Make metrics analysis-ready and available to consumers with live queries using any BI, Data Science, and ML services of our choice.
Replace legacy “Cube” architectures like SSAS to support a solution that enables blazing fast dimensional analysis by creating aggregates on Databricks.
Extend tooling support through dialect support for DAX, MDX, Python, and SQL.