Petabyte Pitstops with Mercedes, Databricks SQL and Plotly Resampler

This presentation showcases an efficient solution for managing and deriving insights from petabytes of data accessed through serverless SQL warehouses. By combining Mercedes' technology with the Databricks Platform and Plotly Resampler's next-gen charting, we've built a high-performance application for petabyte-scale processing and real-time analytics. This application emphasizes seamless data orchestration, query optimization, and visual storytelling. We'll explore the role of Databricks SQL Serverless in simplifying data infrastructure and automatically scaling to meet demands. We will elaborate on how this solution utilizes Databricks SQL for advanced data querying, touching on SQL Alchemy capabilities and Unity Catalog for its consistent governance layer. Making data securely accessible will also be discussed. Real-world scenarios will show how Mercedes uses this workflow to accelerate innovation, enhance efficiency, and drive decision-making.