Data-driven and cloud-native ecosystems in the automotive industry
summary
BMW Group IT migrates a Big Data platform to AWS, already moving 25% migrated to AWS of daily ConnectedDrive data while handling 1 billion requests from 12 million vehicles and ~500 million messages monthly. Architecture uses S3 for the data lake, Kinesis for streaming, Terraform/CloudFormation for reproducible infra, and GraphQL APIs plus a self-service portal and catalog. Data is anonymized for GDPR, pipelines map vehicle signals to a W3C-inspired model, and a driver cockpit real-time recommendations product proves the platform in production.
AI-written summary · about
chapters (10)
- 0:00Start
- 2:40Facts and Figures
- 5:41Operational Complexity
- 15:20Vehicle Telemetry
- 17:37Data Model
- 18:42Self-Service Portal
- 19:21Managing Data Sources
- 20:35Aws Management Console
- 20:55Cloud Managed Services or Custom Infrastructure
- 25:17Driver Cockpit
related talks
36mHow BMW stays on the fast track by building the Connected AI Platform for digital products
45mAccelerated analytics: Building the next-gen data platform for Hertz
15mSheer driving pleasure: Automated driving for BMW’s Neue Klasse
30mEnabling data-driven development for autonomous driving at BMW
45mBuilding a connected vehicle and app experience
16mData und AI at Scale: Unlocking Innovation
45mOur way to a data-driven enterprise - A Journey by Bosch
03mThe enterprise data cloud