The Challenge

  • Multiple partners acquire data over a period of several years
  • A consistent data lake for different applications shall be created
  • Development of applications in parallel to data acquisition

The Approach

  • Combination of serverless and server-based cloud applications for automated data consistency check and data transformation.
  • An event-based cloud architecture allows to keep data consistent even if data transformation requirements change
  • Data Privacy by using European AWS servers only.
  • Integrated data dashboard allows to continuously monitor data quality and label distribution

Result & Added Value

  • Event-based cloud infrastructure to allow
  • distributed development of machine learning models
  • Continuous increase of data from test drives
  • Consistent data management
Dr. Marc GroĂźerĂĽschkamp
Head of Software & Data Technologies
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