Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Writing PySpark logs in Apache Spark and Databricks

PySpark test helper methods with beautiful error messages

Ultimate guide for mastering Spark Performance Tuning and Optimization concepts and for preparing for Data Engineering interviews

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, P…

Testing framework for Databricks notebooks

Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline

Performance tests for Apache Spark