Power BI on Databricks Best Practices Guide

This guide outlines best practices for using Power BI with Databricks, focusing on optimizing data preparation, SQL serving, integration, and report design. It details the necessary steps for preparing datasets, configuring the Databricks SQL Warehouse, and designing effective reports in Power BI. The document emphasizes the importance of implementing an efficient data model, optimizing the storage layer for performance, and controlling costs. It provides specific recommendations such as adopting a medallion architecture on Delta Lake, using star schemas for data modeling, and leveraging SQL views for performance improvements. Additionally, the guide discusses the significance of using appropriate SQL warehouses, configuring auto-stop features, and ensuring optimal query performance through various techniques like materialized views and query parallelization. The document also addresses troubleshooting steps for slow reports, emphasizing regular optimization and monitoring of SQL warehouse performance to enhance overall efficiency.