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Useful Databricks/Spark resources

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Memory Profiling in PySpark: https://www.databricks.com/blog/2022/11/30/memory-profiling-pyspark.html Run Databricks queries directly from VSCODE: https://ganeshchandrasekaran.com/run-your-databricks-sql-queries-from-vscode-9c70c5d4903c Spark Testing with chispa: https://github.com/alexott/spark-playground/tree/master/testing Best Practices for Cost Management on Databricks: https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html UDF Pyspark: https://docs.databricks.com/udf/python.html Pandas UDF’s: https://docs.databricks.com/udf/pandas.html Introducing Pandas UDF for PySpark: https://www.databricks.com/blog/2017/10/30/introducing-vectorized-udfs-for-pyspark.html

Databricks connectivity to Azure SQL / SQL Server

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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 …