For our Data Anonymization Platform, we use a scalable, real-time capable framework based on Apache Kafka and Apache Flink. We are able to process input on file basis and also as data streams. The DAP can protect and process dynamic and static data from many different sources.
Possibilities include "connected car", passenger and booking data, customer and order data, or data from IoT devices. Sensitive data is thus available only in anonymous form, free of personal information, and is stored segmented on secure servers. Methods such as differential privacy and K-anonymity, combined with numerous innovative internal developments, ensure that it is never possible to draw any conclusions about individual persons during data analysis, not even for our employees. The Data Anonymization Platform (DAP) thus sets a new standard for data-privacy-friendly yet valuable big data applications.