Data Engineering for Vehicle Data
From vehicle data streams to scalable data-driven applications
Vehicles today generate enormous amounts of data – but it is only through proper processing that this data can be turned into valuable insights. Using practical case studies, this guide demonstrates how vehicle data is collected, processed and analysed, which technologies are used in the process, and how companies are building scalable data engineering platforms for future mobility solutions.
What you can expect from this white paper:
Use cases
Sectors and areas of application
Example application scenario
Responsibilities of modern data engineering teams
Practical examples from client projects
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