The BMW Group is using AWS for its new connected-car application that collects sensor data from BMW 7 Series cars to give drivers dynamically updated map information. BMW Group is one of the leading manufacturers of premium cars and mobility services in the world, with brands such as Rolls Royce, BMW, and Mini. BMW built its new car-as-a-sensor (CARASSO) service in only six months leveraging Amazon Simple Storage Service (Amazon S3), Amazon Simple Queue Service (Amazon SQS), Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), and AWS Elastic Beanstalk. By running on AWS, CARASSO can adapt to rapidly changing load requirements that can scale up and down by two orders of magnitude within 24 hours. By 2018 CARASSO is expected to process data collected by a fleet of 100,000 vehicles traveling more than eight billion kilometers.
AWS Services Used
Amazon S3
Object storage built to retrieve any amount of data from anywhere
Amazon Simple Queue Service
Fully managed message queuing for microservices, distributed systems, and serverless applications
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Amazon Relational Database Service
Set up, operate, and scale a relational database in the cloud with just a few clicks
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AWS Elastic Beanstalk
Deploy and scale web applications
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More BMW Customer Stories
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Germany
Data Lakes with BMW
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. -
Germany
How BMW Group uses AWS serverless…
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.
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