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 usa student data package 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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Who is a data architect
A data architect is an engineer who designs systems and processes for storing and using information. Their responsibilities may include creating a variety of structures, from pipelines and databases to warehouses and cloud systems. In general, the main goal of such a specialist is to ensure that data is organized in a way that is accessible, secure, and up-to-date.
Data architects are also responsible for overseeing the information systems they create to ensure effective implementation and long-term support. Ultimately, their roles are similar to those of traditional architects.
Data Architect
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Both types of data architects analyze how structures are used and work to ensure security and engineering support. In practice, data architects ensure that the various components of a system work together harmoniously to create a solution that meets the needs of end users.
Of course, businesses need a variety of information professionals, but the work of data architects is among the most important functions. Their job is to provide a foundation for other professionals working in this area, including analysts, researchers, and experts. Without a well-designed data architecture, the tasks of other professionals can be seriously complicated. This is what makes the profession of an information systems architect unique.