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— | architecture:data [2023/03/30 15:32] (current) – Henrik Yllemo | ||
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+ | ====== Data Architecture ====== | ||
+ | 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 | ||
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+ | Data architecture refers to the overall design and organization of data in an organization. It includes the various components and systems that manage, store, process, and analyze data. | ||
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+ | Data architecture defines the standards, rules, and models that guide the collection, integration, | ||
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+ | An effective data architecture is essential for organizations to derive insights, make informed decisions, and achieve their business goals. It helps to ensure that data is accurate, consistent, and accessible to the right people at the right time. | ||
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+ | Some of the key benefits of data architecture include: | ||
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+ | * Improved data quality and accuracy | ||
+ | * Increased efficiency and productivity in data management | ||
+ | * Enhanced data security and privacy | ||
+ | * Better decision-making through data analysis and insights | ||
+ | * Reduced data redundancy and inconsistency | ||
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+ | * https:// | ||
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+ | === ## ToDo ## === | ||
+ | * FIXME | ||
+ | * Databases | ||
+ | * Data Governance | ||
+ | * Conceptual / business data model | ||
+ | * Logical/ | ||
+ | * Physical/ | ||
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+ | ===== Architecture Articles ===== | ||
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