Which of the following is NOT a component of data architecture practice?

Which of the following is NOT a component of data architecture practice?

• A. Strategy
• B. Engagement and culture
• C. Working methods
• D. Budget management

Answer: (D)

Budget management is not typically considered a core component of data architecture practice. Data architecture focuses primarily on the structural design of systems to collect, store, manage, and use data effectively. It encompasses strategic components that guide how data is utilized within an organization, the engagement and culture surrounding data practices within teams, and the working methods that define how data operations are conducted. The strategy component is essential as it outlines the vision and framework for how data should be managed to meet organizational goals. Engagement and culture involve fostering a workplace environment that values data and promotes collaboration among stakeholders. Working methods define the processes and practices for working with data, including how it is acquired, transformed, stored, and shared. While budget management is important in overall project management and organizational governance, it does not directly influence the architectural framework of data practices. Instead, it may impact how a data architecture initiative is funded or how resources are allocated, but it is not part of the foundational practice itself.

Budget management is not typically considered a core component of data architecture practice. Data architecture focuses primarily on the structural design of systems to collect, store, manage, and use data effectively. It encompasses strategic components that guide how data is utilized within an organization, the engagement and culture surrounding data practices within teams, and the working methods that define how data operations are conducted.

The strategy component is essential as it outlines the vision and framework for how data should be managed to meet organizational goals. Engagement and culture involve fostering a workplace environment that values data and promotes collaboration among stakeholders. Working methods define the processes and practices for working with data, including how it is acquired, transformed, stored, and shared.

While budget management is important in overall project management and organizational governance, it does not directly influence the architectural framework of data practices. Instead, it may impact how a data architecture initiative is funded or how resources are allocated, but it is not part of the foundational practice itself.