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AA1905Architectural Survey File This is the architectural survey file for this MIP record. The survey file is organized reverse chronological (that is, with the latest material on top). It contains
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01
Understand the purpose of data architecture and its importance in an organization.
02
Identify the different components of data architecture such as data sources, data storage, data processing, and data visualization.
03
Define the data requirements and objectives for the organization.
04
Design a data model that aligns with the organization's goals and objectives.
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Implement the data architecture by selecting appropriate tools and technologies.
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Test the data architecture to ensure its effectiveness and efficiency.
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Monitor and continually update the data architecture to meet changing business needs.

Who needs what is data architecture?

01
Businesses and organizations looking to efficiently manage and organize their data.
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Data analysts, data scientists, and other professionals working with large volumes of data.
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IT departments responsible for maintaining data infrastructure and systems.
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Executives and decision-makers who rely on data for strategic planning and decision-making.
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Data architecture is the design and structure of an organization's data systems, including databases, data storage, and data integration processes.
Data architects and IT professionals are typically responsible for designing and implementing data architecture.
Data architecture is typically filled out by documenting the different components of the data systems and how they interact with each other.
The purpose of data architecture is to provide a blueprint for managing and organizing the organization's data assets.
Information such as data sources, data flow, data storage, and data access controls must be reported on data architecture.
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