In this session, we will explore effective strategies for optimizing costs on the Databricks platform, a leading solution for handling large-scale data workloads. Databricks, known for its open and unified approach, offers several tools and methodologies to ensure users can maximize their return on investment (ROI) while managing expenses efficiently. Key points: Understanding usage with AI/BI tools Organizing costs with tagging Setting up budgets Leveraging System Tables By the end of this session, you will have a comprehensive understanding of how to leverage Databricks' built-in tools for cost optimization, ensuring that their data and AI projects not only deliver value but do so in a cost-effective manner. This session is ideal for data engineers, financial analysts, and decision-makers looking to enhance their organization’s efficiency and financial performance through strategic cost management on Databricks.