Sigma on Databricks: End-to-End Best Practices
How do you implement, optimize and operate Sigma as an analytics layer on top of Databricks ? This comprehensive end-to-end guide will show you how. Specifically, we walk you through:
- How to configure your warehouse to ensure the best experience for your end users.
- What is the governance structure, the ideal data architecture for analytics, and the multiple levers for optimizing Databricks.
- What are the best practices for workbooks, datasets, and embedding.
This guide is intended for a technical audience: Data Architects, Platform Architects, Data Engineers, Analytics Engineers, BI Engineers, and so on, and is meant to be used as a reference for anyone deploying Sigma on Databricks for the first time, or looking for guidance when optimizing their data platform.
Check out our blog to learn more: A Practical Guide to Using Sigma with Databricks