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Blogs


Write once. Compile anywhere
Define a metric once in a semantic model. Semantic Hub compiles it and pushes it to where it belongs. Compute logic (metrics, dimensions) goes to the database. Databricks gets Databricks metrics views, Snowflake gets Snowflake semantic views, and Oracle gets Oracle analytics views. Navigation logic (hierarchies, UX structure) goes to the BI tool in its native format: Power BI gets a semantic model, Tableau gets a logical data model, Looker gets LookML.
John Wills
May 274 min read


New Release: Enterprise Data Lineage for Snowflake
We are excited to announce the release of new data lineage functionality for Snowflake that directly connects it to all enterprise data...
John Wills
Feb 12, 20251 min read


New Release: Enterprise Data Lineage for Databrick Unity Catalog
We are excited to announce the release of new data lineage functionality for Databricks Unity Catalog that directly connects it to all...
John Wills
Feb 12, 20251 min read


New Release: Enterprise Data Lineage for Excel & Power Query
We are excited to announce the release of new data lineage functionality for Excel and Power Query that directly connects them to all enterprise data assets. This capability makes it possible for enterprise data teams to have visibility into this critical 'last mile' of data consumption. It also, gives Power BI and Excel users a way to clearly understand the origin of the data in reports and worksheets. The keys things to know are: All components of Power Queries are automa
John Wills
Feb 12, 20251 min read
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