MATLAB Interface for Databricks — Spark (Databricks Connect)

Read data from Databricks into MATLAB via Databricks Connect. This skill covers first-time setup, authentication, and using Spark DataFrames from desktop MATLAB.

When to Use

• First-time setup of the MATLAB Interface for Databricks package
• Configuring .databrickscfg and authentication (OauthU2M, OauthM2M, PAT)
• Reading large tables via Spark with server-side filtering before pulling data locally
• Creating a Spark session from desktop MATLAB (getDatabricksSession)
• Converting Spark DataFrames to MATLAB tables or writing MATLAB tables back to Spark

When NOT to Use

• SQL queries on small-to-medium datasets via JDBC/ODBC — use /matlab-connect-databricks-jdbc
• Deploying compiled MATLAB code to Databricks clusters (Job workflow)
• Databricks Files API operations
• REST API management (Clusters, Jobs, Unity Catalog admin)