This article unfolds all about TOGAF® and how it benefits large … Understandable by stakeholders 2. TOGAF is based on TAFIM (Technical Architecture Framework for Information Management), an IT management framework developed by the U.S. Defense Department in the 1990s. Using the traceability from application to business function to data entity inherent in the content framework, it is possible to create an inventory of the data needed to be in place to support the Architecture Vision. Once the data requirements are consolidated in a single location, it is possible to refine the data inventory to achieve semantic consistency and to remove gaps and overlaps. What is Enterprise Architecture? We are interested here in modeling the main business entities, their properties and relationships. If the impact is significant, this may warrant the Business and Application Architectures being revisited. — Data Flow Diagram. ; locations; business processes); i.e., those that will enable the architect to demonstrate how the stakeholder concerns are being addressed in the Data Architecture. Additionally, the diagram may show data, The data lifecycle diagram is an essential part of managing business data throughout its lifecycle, from conception through disposal, within the constraints of the business process. Select relevant Data Architecture resources (reference models, patterns, etc.) Complete and consistent 3. In TOGAF, “architecture” has two meanings depending upon the context: A formal description of a system, or a detailed plan of the system at a component level to guide its implementation; The structure of components, their inter-relationships, and the principles and guidelines governing their design and evolution over time. Gap Analysis. This initial Data Architecture roadmap will be used as raw material to support more detailed definition of a consolidated, cross-discipline roadmap within the Opportunities & Solutions phase. Data architecture describes the structure of an organization's logical and physical data assets and data management resources, according to The Open Group Architecture Framework (TOGAF). Data governance considerations ensure that the enterprise has the necessary dimensions in place to enable the transformation, as follows: As part of this phase, the architecture team will need to consider what relevant Data Architecture resources are available in the organization's Architecture Repository (see Part V, 41. Develop a Baseline Description of the existing Data Architecture, to the extent necessary to support the Target Data Architecture. Another key consideration is to ensure that an enterprise-wide common data definition is established to support the transformation. https://www.togaf-modeling.org/models/data-architecture.html The objective of Phase C is to develop Target Architectures covering either or both (depending on project scope) of the Data andApplication Systems domains. Develop the Target Data Architecture that enables the Business Architecture and the Architecture Vision, while addressing the Request for Architecture Work and stakeholder concerns 2. $0.00. These will normally form part of an overarching set of architecture principles. The objectives of the Data Architecture part of Phase C are to: Develop the Target Data Architecture that enables the Business Architecture and the Architecture Vision, in a way that addresses the Statement of Architecture Work and stakeholder concerns Applying Iteration to the ADM. All activities that have been initiated in these steps must be closed during the Finalize the Data Architecture step (see 10.4.8 Finalize the Data Architecture). Data Architecture¶ Every business, small or large SHOULD have a data architecture. Data Architecture can be defined as- The Open Group Architecture Framework (TOGAF) provides a methodology and a set of tools for developing an enterprise architecture, which includes data architecture as well. Are there any opportunities to leverage work from this Data Architecture in other areas of the organization? The level of detail addressed in Phase C will depend on the scope and goals of the overall architecture effort. Moreover, by assigning business value to data, an indication of the business criticality of application components can be gained. But, as powerful as TOGAF is, it's not applicable to every situation. It is important to achieve a balance in the level of detail provided (e.g., reproducing existing detailed system physical data schemas or presenting high-level process maps and data requirements, highlight the two extreme views). Architecture Vision TOGAF: Solution Concept Diagram; TOGAF: Value Chain Diagram; Business Architecture TOGAF: Business Footprint Diagram; Business Services and Information Diagram ; TOGAF: Functional Decomposition Diagram; Product Lifecycle Diagram; Data Architecture Class Diagram; Data Dissemination Diagram; Opportunities and Solutions Benefits Diagram; Project Context Diagram; … Conduct an impact analysis to identify any areas where the Business and Application Architectures (e.g., business practices) may need to change to cater for changes in the Data Architecture (for example, changes to forms or procedures, applications, or database systems). Not all data models will have been kept up-to-date as applications were modified and extended over time. If they are not, create new models to address concerns not covered, or augment existing models (see above). A data architecture gives overviews, visuals and describes e.g. Identify candidate Architecture Roadmap components based upon gaps between the Baseline and Target Data Architectures The following diagrams should be considered for development within a Data Architecture: Once the Data Architecture catalogs, matrices, and diagrams have been developed, architecture modeling is completed by formalizing the data-focused requirements for implementing the Target Architecture. The diagram will provide a visual representation of the spread of sources/targets and serve as a tool for data auditing and establishing traceability. At this stage, other architecture artifacts in the Architecture Landscape should be examined to identify: Check the original motivation for the architecture project and the Statement of Architecture Work against the proposed Data Architecture. This diagram is developed to clearly present these relationships and to help understand the lower-level data models for the enterprise. The content metamodel provides a definition of all the types of building blocks that may exist within an architecture, showing how these building blocks can be described and related to one another. Examples of data modeling techniques are: For each viewpoint, select the models needed to support the specific view required, using the selected tool or method. Document rationale for building block decisions in the Architecture Definition Document. TOGAF®—The Open Group Architectural Framework—has been used by enterprise architects (EAs) as a common language to plot IT development strategies for more than 25 years. The purpose of the data security diagram is to depict which actor (person, organization, or system) can access which enterprise data. Verify the architecture models for internal consistency and accuracy: Identify gaps between the baseline and target, using the Gap Analysis technique as described in Part III, 27. Data is usually one of several architecture domains that form the pillars of an enterprise architecture or solution architecture. Diagrams present the Data Architecture information from a set of different perspectives (viewpoints) according to the requirements of the stakeholders. In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. TOGAF, an acronym for The Open Group Architecture Framework, is intended to be a standard way to design and implement architectures for very large computer systems. This chapter describes the Data Architecture part of Phase C. 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