How to visualize vehicle CAN bus data with the Amazon Athena data source for Grafana

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.