Martin Falch of CSS Electronics discusses how the integration of Amazon Athena with Grafana helps users visualize and analyze CAN bus data efficiently and cost-effectively. The CAN bus protocol, used for sensor data communication in vehicles and machinery, generates large volumes of data that need to be decoded and visualized for engineers involved in R&D, diagnostics, or predictive maintenance. The solution involves using Amazon Athena as a serverless and interactive analytics service within AWS, which, when combined with Grafana, allows users to self-deploy a data visualization workflow without coding. This setup, supported by AWS Lambda functions and Parquet data lakes, enables cost-effective analysis of vast data volumes, while retaining original timestamps for detailed insights. Furthermore, the structured data lake allows for multi-purpose data analysis, making it accessible via SQL interfaces for diverse applications, including Python, MATLAB, and Excel.