Data Compliance architecture for Managing Organizations local and Global Data Using Data virtualization

Abstract

In today’s globalized world organizations  crossing boundaries and doing organizations in various  countries and regions. These organizations work in  various sectors and industries. With strict data compliance  and data privacy laws, organizations need to adhere local  laws and store sensitive data in countries boundary and  need to abide local land laws regarding data compliance.  To sustain and compete in a competitive environment organizations make use of data they generate. The data  consumption depends on the location of head office or  location of top higher management. To consume data for  various needs, organizations required data compliance  and privacy protection data management framework.

The aim of this paper is to study how a data virtualization  platform can help organizations to adhere data compliance  and data privacy. To maintaining balance between local  and global data needs based on data sensitivity and  further help to build data compliance system architecture  using data virtualization solutions.