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This guide provides a comprehensive overview of data architecture within enterprise systems. It clarifies how data entities are utilized by various business functions, processes, and services. The document outlines the creation, storage, transportation, and reporting of enterprise data entities, integrating aspects of data governance and management. It discusses established data models, such as those for the retail and petro-technical industries. Additionally, it offers insights into selecting reference models and tools for effective data capture, modeling, and analysis, using techniques such as entity-relationship diagrams and class diagrams.
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Information Systems Architectures Data + Application
Data Architecture • Clearly understand how data entities are utilized by business functions, processes, and services • Clearly understand how and where enterprise data entities are created, stored transported, and reported
Data Governanace • Structure • Management System • People
Existing Data models • ARTS has defined a data model for the Retail industry. • Energistics has defined a data model for the Petro technical industry
Steps • Select Reference Models, Viewpoints, and Tools • Identify appropriate tools and techniques (including for ms) to be used for data capture , modeling, and analysis, in association with the selected viewpoints. • Examples of data modeling techniques are: • Entity-relationship diagram • Class diagrams
