Key Features of SQL Analytics in Azure Databricks

As customers continue to standardize on data lakes and the Lakehouse architecture, users expect to be able to query the data in their data lake using #SQL.

41% of all code executed on Azure Databricks is SQL. The #SQLAnalytics service in #AzureDatabricks was created to provide #SQL users with a familiar SQL-editor experience as well as provide optimized BI connections for querying and analyzing data in the data lake.

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