Customer Stories / Automotive

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Data Lakes with BMW

BMW and AWS have teamed up to accelerate data driven innovation enterprise-wide.

In this session, we will explore the BMW Cloud Data Hub, and how BMW and AWS have teamed up to accelerate data driven innovation enterprise-wide. We'll then switch gears to discuss the AWS Autonomous Driving Data Lake reference architecture to learn how customers manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems by using Amazon EMR, Amazon S3 and Amazon SageMaker Ground Truth, among others.


We looked at moving our data lake from on premises to AWS in 2019. Now you fast forward two years and we look at an established stack cloud data hub with more than 2.4 petabytes of data serving more than 5,000 employees across the whole organization." 

Josef Viehhauser
Platform Lead, BMW Group

AWS Services Used

Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

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Amazon SageMaker Ground Truth

SageMaker Ground Truth is a data labeling service that makes it easy to label data and gives you the option to use human annotators through Amazon Mechanical Turk, third-party vendors, or your own private workforce.

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Amazon EMR

Amazon EMR is the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto.

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