Building a Data Lakehouse to Manage Petabytes of Autonomous Vehicle Data

Explore how Scania leveraged the data lakehouse concept to manage and analyze massive volumes of sensor data from autonomous vehicles in this 24-minute conference talk. Learn about the advantages of combining data lakes and data warehouses to create a scalable, reliable, and high-performance architecture for storing, processing, and querying sensor data consistently. Discover Scania's experience in building and deploying their data platform using Unity Catalog and Delta Live Tables, fostering user adoption across teams, and preparing for future challenges in MLOps, data contracts, and multi-tenant environments. Gain insights into the complexities of autonomous vehicle development and the innovative solutions employed to handle petabytes of data efficiently.

Building a Data Lakehouse to Manage PBs of Autonomous Vehicle Data