Integration of Scalable IT Architectures on the Basis of Data Fabric Technology

Data Fabric technology is analyzed in relation to traditional data management methods. It is shown that traditional methods of data collection and storage do not provide the speed necessary in the digital economy. Accordingly, conversion from data to knowledge is proposed, with corresponding modification of the paradigm for working with corporate information. By this means, data enriched with semantics by means of knowledge graphs become available for automatic analysis. That may be regarded as the first step toward smart information systems based on IT Architectures and Data Fabric. Formal description of the classes of real-world entities is proposed, with a corresponding hierarchy and constraints, including rules of logical inference, according to the most relevant real-time information. Data Fabric platforms are analyzed. A physical model of data fragmentation and data structuring is considered, with the creation of virtual access levels where data are logically combined. This approach permits central data management in the classical sense; the IT architectures present data in accordance with corporate standards.