To meet this challenge, organizations are leveraging global policies for data security and governance. Global data security policies can be based not only on user roles, but also on location, so that a person on vacation might not be able to access the data from the main office. Global data governance policies too can automatically standardize the spelling of certain words, across the different systems within a company.
However, in order to synchronize the application of laos whatsapp number data global policies in real time, such data security and governance implementations require the foundation of a logical approach to data management, and such an approach is covered in the next section.
To overcome the challenges inherent in each of these five trends, organizations will need to be able to leverage Data Management strategies that are designed from the ground up to support distributed data. Traditional Data Management approaches rely on the physical replication of data from multiple systems into a central repository, like a data warehouse or data lake, but such approaches, by definition and also in practice, do not support inherently distributed data. In contrast, logical Data Management approaches enable real-time connections to disparate data without replication, to support inherently distributed data.