Many companies are migrating their data to the cloud. Files are typically classified as containing unstructured, semi structured, and structured data. A data warehouse is best suited to working with structured data while a data lake can store all three. What if you can use one product to work with all three types of data?

Azure Databricks SQL Warehouse is an interface that makes the spark cluster look like a SQL database. In general, the syntax is compliant with the core ANSI SQL language. However, additional features are available for working with remote storage, loading files into delta tables, and managing the hive catalog. Last but not least, SQL queries can be visualized and combined into dashboards.

At the end of this talk, you will have a good understanding of the Azure Databricks SQL Warehouse ecosystem.