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Information Systems Architectures

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.

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Information Systems Architectures

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  1. Information Systems Architectures Data + Application

  2. 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

  3. Data Governanace • Structure • Management System • People

  4. Existing Data models • ARTS has defined a data model for the Retail industry. • Energistics has defined a data model for the Petro technical industry

  5. Eg:

  6. 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

  7. Data Models

  8. Outputs

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