Authored on: May 12, 2014
Download A policy-driven, on-demand masking approach enables organizations to proactively protect data privacy and support compliance. This approach is especially important in the current era of computing, where data is everywhere and is continuously growing in volume, variety and velocity. The end goal is to provide aggregated sensitive data to an analytics platforms, data warehouses and test databases while protecting privacy. Policy-driven, on-demand data masking should be built into an overall information integration and governance platform. This ebook discusses the three steps required to set up data privacy policies based on business priorities such as analytics, quality testing or big data initiatives.