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Useful Databricks/Spark resources

Memory Profiling in PySpark: Run Databricks queries directly from VSCODE: Spark Testing with chispa: Best Practices for Cost Management on Databricks: UDF Pyspark: Pandas UDF’s: Introducing Pandas UDF for PySpark:

Databricks connectivity to Azure SQL / SQL Server

Most of the developments I see inside databricks rely on fetching or writing data to some sort of Database. Usually the preferred method for this is though the use of jdbc driver, as most databases offer some sort of jdbc driver. In some cases, though, its also possible to use some spark optimized driver. This …