Data drives BMW’s personalized customer experiences, connected mobility solutions, and analytical insights. This session walks through the journey of building BMW Group’s Cloud Data Hub. BMW Group’s technical lead, Simon Kern, dives deep into how the company is leveraging AWS serverless capabilities for delivering ETL functions on big data in a modularized, accessible, and repeatable fashion and provides insight into the next steps of the journey. The services used in BMW Group’s AWS architecture are discussed, including AWS Glue, Amazon Athena, Amazon SageMaker, and more.
Let's jump right into the Cloud Data Hub, which is our central data lake for the BMW Group built on AWS technologies. It's really a cloud native data lake that makes it easy to ingest data, has a scalable storage solution, and it opens many possibilities for use cases to use the data and get value out of it."
Lead DevOps Engineer, BMW Group
AWS Services Used
AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
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