Applications architecture, which represents the application systems, and how they relate to key business processes and each other.Data architecture, which describes the conceptual, logical, and physical data assets and how they are stored and managed throughout their lifecycle.Business architecture, which defines the enterprise’s organizational structure, business strategy, and processes.There are four pillars to the architecture: This enterprise architecture methodology was developed in 1995 by The Open Group, of which IBM is a Platinum Member. The Open Group Architecture Framework (TOGAF) It focuses on the technical aspects of how the data will be stored and accessed, and is used for database schema creation and optimization.Ī data architecture can draw from popular enterprise architecture frameworks, including TOGAF, DAMA-DMBOK 2, and the Zachman Framework for Enterprise Architecture. It defines the actual implementation of the database, including table structures, indexes, storage and performance considerations. Physical data models: The physical data model is the most detailed and specific of the three. Logical data models don’t specify any technical system requirements. These indicate data attributes, such as data types and their corresponding lengths, and show the relationships among entities. One of several formal data modeling notation systems is followed. Logical data models: They are less abstract and provide greater detail about the concepts and relationships in the domain under consideration.Typically, they include entity classes (defining the types of things that are important for the business to represent in the data model), their characteristics and constraints, the relationships between them and relevant security and data integrity requirements. Conceptual models are usually created as part of the process of gathering initial project requirements.
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