Primary Data Architecture outcomes include:
Data storage and processing requirements
Designs of structures and plans that meet the current and long-term data requirements of the enterprise
Architects seek to design in a way that brings value to the organization. this values comes through an optimal technical footprint, operational and project efficiencies, and the increased ability of the organization to use its data. to get there requires good design, planning, and the ability to ensure that the designs and plans are executed effectively.
To reach these goals, Data Architects define and maintain specifications that:
Define the current state of data in the organization
Provide a standard business vocabulary for data and components
Align Data Architecture with enterprise strategy and business architecture
Express strategic data requirements
Outline high-level integrated designs to meet these requirements
Integrate with overall enterprise architecture roadmap
An overall Data Architecture practice includes:
Using Data Architecture artifacts (master blueprints) to define data requirements, guide data integration, control data assets, and align data investments with business strategy
Collaborating with, learning from and influencing various stakeholders that are engaged with improving the business or IT systems development
Using Data Architecture to establish the semantics of an enterprise, via a common business vocabulary
DAMA Data Management Body of Knowledge 2nd Edition, 2017, Print.
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