Implementation of the Data Fabric Architecture as a Sustainable Development of Industrial Platform Technologies in Road Transport Systems

This article discusses the problem of implementing the Data Fabric architecture as a technology for sustainable data processing and storage for the modernization of industrial platforms in transport and road systems. To perform complex tasks like monitoring road transport facilities entails huge resources for storing interactive data online. The concept of transport enterprises moving to cloud systems opens up gaps in data management in hybrid and multi-cloud systems. To solve such problems, the implementation of the Data Fabric structure allows you to integrate data and metadata for use on various platforms. The sustainable development of such platforms is facilitated by the use of the Data Fabric mechanism as a built-in system for standardization and coding, the implementation of semantic compatibility, proprietary knowledge graphs and the domain of data values of the transport industry. Data Fabric helps organizations solve complex data problems and use cases by managing their data regardless of application types, platforms, and storage locations, while ensuring seamless data access and sharing in a distributed data environment. The article analyzes the stability of the Data Fabric platform as a domain-oriented decomposition model based on a distributed data architecture with centralized management, but not as a fragmented data warehouse. Using the example of such a decomposition, it is necessary to model an architecture that organizes analytical and other data by areas. In this architecture, the domain's interface with the rest of the organization includes not only operational capabilities, but also access to the analytical data that the domain serves to scale the system.