This section provides a guide to developing notebooks in the Databricks Data Science & Engineering and Databricks Machine Learning environments using the SQL language.
The following SQL language reference applies if you use the Databricks Data Science & Engineering and Databricks Machine Learning environments.
SQL notebooks support various types of visualizations using the
This section describes features that support interoperability between SQL and other languages supported in Databricks.
In addition to Databricks notebooks, you can also use various tools. See the Databricks integrations.
This article describes how to use SQL constructs to control access to database objects: