Data security is a driving force, particularly for organizations making the move from on-premises databases to SaaS-based data warehouses where users outside the organization need to be trusted at some level. This massive shift to the cloud – with its security concerns – has been coupled with a rapid increase in privacy issues.
Security and privacy are colliding in the cloud and creating challenges organizations have never seen. To tackle this problem, it’s critical to think about layers of trust and where trust lives in conjunction with data utility tradeoffs.
Read our eBook to learn:
- The strengths and shortcomings of different data privacy and security methods
- Various scenarios that demonstrate the impacts of the privacy-utility tradeoff
- Best practices for effectively avoiding re-identification while preserving data utility in cloud-based analysis