Success Case | Sensitive Data Pseudonymization
French multinational telecommunications corporation with 266 million customers worldwide.
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The Challenge
Meet the EU GDPR requirements in terms of data privacy, applying pseudonymization techniques to PII data stored in a ~300TB AWS S3 Data Lake.
The Solution
Built an advanced, cloud-native, and event-driven architecture based on AWS EMR, AWS Lambda, AWS SNS, and AWS S3 to de-identify historical data and on-the-fly data making use of direct integrations with operational services (orchestration flow and data catalog).
The platform also allows users to request de-identify or identify operations on-demand and it also provides a complete layer of monitoring and alerts.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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