Analysis Platform Provisioner And Preprocessing InfraStructurE for RUle Based Data QualIty Checks on (Newly acquired) Data

The Hochschule Furtwangen University (HFU) and Daimler AG are working on a cloud based big data Infrastructure for data analysts, that automatically preprocesses incoming vehicle data and validates them upon data quality. Flawed data sets are marked for further inspection. Each developer can create and use preconfigured virtual machines to analyze the flawed data sets. Using a predefined set of rules with acceptance ranges for important attributes, data quality appraisal is realized.

Research topics include:

  • Appraising data quality using machine learning
  • Security and privacy in Big Data environments
  • Big data infrastructures


Project start: 15.12.2016

Project end: 32.12.2019

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