Data architecture is a set of rules, policies, standards, and models that govern and determine the type of data collected, and show how this data is used, stored, managed, and integrated within an enterprise and database systems. It offers a formal approach to creating and managing data flow and how data is processed across an enterprise's IT systems and applications.
Data virtualization is the reproduction of real data in a virtual environment. In this way, tests, experiments and analyses performed when working with real data can be carried out without compromising the accuracy and security of the real data.
Deepfake technology is a technique that manipulates audio and video in digital content using artificial intelligence and deep learning methods.
It places analytics into a workflow or application at the point of need and allows users to take immediate action without having to leave the app to gain more information to make a decision.
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