Beyond the Bill: Gaining Granular Databricks Cost Insights with Sigma Data Apps

Managing cloud costs requires accurate resource tagging, but maintaining completeness and accuracy is a challenge. In this session, Mitchell Ertle (Senior Partner Solutions Architect) and Josue Bogran (Data & AI Architect) demonstrate how Sigma and Databricks combine to streamline FinOps and resource management with AI-driven cost attribution and workflow automation.

Through a practical demonstration, you'll see:

• Identify and classify untagged Databricks pipelines with a cost attribution app
• Use GenAI from Databricks to suggest tags with human-in-the-loop approval
• Enable bidirectional data flow between Sigma and Databricks for real-time updates
• Automate workflows with Sigma’s actions framework
• Ensure security and governance by inheriting Unity Catalog permissions

Discover why this combination is powerful—Sigma provides intuitive application building while Databricks delivers computation, AI/ML capabilities, and data storage. These platforms create solutions business users can interact with directly, without technical expertise.

Whether in data engineering, finance, or operations, learn how Sigma + Databricks can automate workflows, optimize costs, and drive business impact.