From Data Growth to Data Responsibility: Building Secure Data Systems in AWS

Enterprise data solutions are growing across data warehouses, data lakes, data lakehouse, and hybrid platforms in cloud services. As the data grows exponentially across these services, it’s the data practitioners’ responsibility to secure the environment with secure guardrails and privacy boundaries. 

In this article, we will learn a framework for implementing security protocols in AWS and learn how to implement them across Redshift, Glue, DynamoDB, and Aurora database services.