Zachman Framework vs Data Architecture

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Published on March 2, 2009

Author: osweetlilredhead

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Zachman Framework vs Data Architecture

Similarities of Data 1 Running head: Similarities of Data Architecture and Zachman Framework Similarities of Data Architecture and Zachman Framework Carol A. Harstad Strayer University

Similarities of Data 2 Abstract This paper will explain the Zachman Framework and Data Architecture. It will also discuss in what ways they are similar. While the Zachman Framework is a matrix describing an enterprise’s information architecture, data architecture is only one column of elements of that matrix, which is the data (or what) column.

Similarities of Data 3 Similarities of Data Architecture and Zachman Framework The Zachman Framework is a two dimensional structure (or schema) describing an enterprises information architecture. The first dimension is the roles (or perspectives) involved in information systems design. The perspectives are the scope, enterprise model, system model, technology model, detailed representations, and the functioning enterprise. The second dimension represents the primitive interrogatives such as data (what), function (how), network (where), people (who), time (when) and motivation (why). Each cell within the framework represents a complete model. For example, within the Technology Model perspective, under the “What” interrogative, we define the physical data model. The scope defines the purpose of the enterprise and its direction. A list of things is included in the data interrogative, which is important to the enterprise. The function interrogative lists the processes the enterprise carries out. We define a list of locations where the enterprise operates under the network interrogative. We list the organizational units under the people interrogative. The time interrogative will define the list of business events and cycles and the list of business goals and strategies are listed under the motivation interrogative. The business or enterprise model defines the nature of the business including function, structure, organization, and more. This perspective will define models such as the business process model, the entity relationship diagram, the organization chart, the business plan, the logistics network, and the business master schedule. The system model defines the business in more meticulous information terms. This perspective will consist of a fully normalized data model, the distributed system architecture, the data flow diagram and the application architecture, the human interface architecture, the business rule model and the dependency diagram.

Similarities of Data 4 The technology model describes how to address the information processing needs by using technology. For example, you may make the choice on whether to use relational or network databases, which programming languages to use, and description of the user interfaces. Within this perspective, you will define the structure chart, the data architecture, user interface, system design, pseudo-code, system architecture, business rule design, security design, and the “control flow” diagram. The detailed representation is a view of the networks, database specifications, program listings and more that make up a particular system. The models that are defined in this perspective consist of the network architecture, data and physical storage design, screens and security architecture, detailed program design, timing definitions, and program logic for rule specifications. Data Architecture is a high level design that defines how data is stored, managed, and used in a system. It is similar to Zachman’s data (or what) column of the Zachman Framework. Data architecture describes how data is persistently stored, how components and processes reference and manipulate this data, how external/legacy systems access the data, interfaces to data managed by external/legacy systems and implementation of common data operations. Data architecture is influenced and constrained by organization, data, economy, business policies, and technology requirements. Similarities Each row of the Zachman Framework under the data (or what) column, corresponds with an attribute of data architecture. Data architecture should be defined in the planning phase of the design of a new data processing and storage system (Wikipedia, 2009). Scope

Similarities of Data 5 The data column of this row consists of a list of things important to the business. It is a list of things that concern a company, affecting its direction and purpose. Business Model The data column of this row within the Zachman Framework shows the entity relationship diagram. Within data architecture, this is the area where the enterprise data model is created. System Model The data column of this row consists of a fully normalized data model. Data architecture specifies that this area is where the logical data model is created. Technology Model This row consists of the data architecture, with tables and columns, and a map to the legacy data if required. This portion of the process will also specify the database management system. Data architecture specifies this to be the area where the physical data model is created. Detailed Representations This row consists of the denormalized data design and the physical storage design.

Similarities of Data 6 References Data architecture. (2009, January 10). In Wikipedia, The Free Encyclopedia. Retrieved 04:14, February 14, 2009, from http://en.wikipedia.org/w/index.php? title=Data_architecture&oldid=263200944 Lewis, G.A., Comella-Dorda, S., Place, P., Plakosh, D., Seacord, R.C., (2001). An Enterprise Information System Data Architecture Guide. Retrieved February 14, 2009, Software Engineering Institute Web site: http://www.sei.cmu.edu/publications/documents/01.reports/ 01tr018/01tr018title.html Zachman framework. (2009, February 25). In Wikipedia, The Free Encyclopedia. Retrieved 05:04, March 2, 2009, from http://en.wikipedia.org/w/index.php? title=Zachman_framework&oldid=273291550

Similarities of Data 7 Figure Captions Figure 1. Zachman Framework Figure 2. Enterprise Data Architecture Models

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