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. In fact, approximately 41% of all code executed on Azure Databricks is SQL. The SQL Analytics service in Azure Databricks 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.
Below are some of the key features in the SQL Analytics service in Azure Databricks:
For more information about the SQL Analytics service in Azure Databricks, check out the docs page and the Databricks launch blog. The SQL Analytics service is currently in Public Preview. Contact your Azure Databricks representative to request access. Get started with Azure Databricks by joining an Azure Databricks workshop.
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