Azure Databricks for Scala developers
This section provides a guide to developing notebooks and jobs in Azure Databricks using the Scala language.
These links provide an introduction to and reference for the Apache Spark Scala API.
- Introduction to DataFrames
- Introduction to Datasets
- Introduction to Structured Streaming
- Apache Spark API reference
Azure Databricks Scala notebooks supports various types of visualizations using the
This section describes features that support interoperability between Scala and SQL.
In addition to Azure Databricks notebooks, you can also use the following Scala developer tools
Databricks runtimes provide many libraries. To make third-party or locally-built Scala libraries available to notebooks and jobs running on your Azure Databricks clusters, you can install libraries following these instructions: