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 references and information about compatibility with Apache Hive SQL apply if you use the Databricks Data Science & Engineering and Databricks Machine Learning environments.
Databricks SQL notebooks supports 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 guide.
This article describes how to use SQL constructs to control access to database objects: