Enterprise data architecture (EDA) is a set of key projects aimed at adapting IT applications, software, and information resources to a business strategy. EDA is used to coordinate integration issues. In addition, it ensures improved quality and efficiency of information transfer.
EDA is part of the overall enterprise architecture, which includes many interrelated elements: hardware, applications, business procedures, technology choices, communications networks, and data.
The enterprise data architecture model includes many layers that provide a solid foundation for strategic action, including:
an information processing strategy that defines the enterprise's goals for optimizing the collection and use of data and improving business operations;
consideration of possible future vietnam email list innovations and modernization of solutions;
Databases, projects for their integration and reporting.
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EDA is most often represented by models at four levels:
High-Level Model (HLDM): Includes a set of HLDMs that illustrate business data from an abstract perspective, separate from the concrete implementation of the system. The HLDM is a basic UML class model describing the main data elements and their relationships, supplemented by a set of business features such as semantics, common constraints, and formatting rules.
Implementation Overview: Demonstrates the relationships between real-world critical data of current or proposed systems and the HLDM conceptual blocks, showing how the conceptual blocks translate into real-world data.
Source and user models: shows the relationships between different versions of the same data, their holders, and the mechanisms for distributing changes across systems.
Data Transfer and Transformation Models. They describe how information in implemented systems is modified during transit between different systems. They include a structural description of attributes and a physical category of system interfaces. The data transfer architecture also demonstrates how HLDM is applied in interface solutions, including central systems or enterprise application integration (EAI) hubs.
The main advantages of EDA:
improved understanding of data;
becomes a key element in the creation and implementation of a management system that corresponds to the data processing strategy;
Manages development in various modules including Universal Reporting, Enterprise Systems Integration (EAI), and database projects.
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