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What are the primary differences between a data warehouse and a data mart?

A. Data warehouses make quick decisions; data marts make slow decisions.
B. Data warehouses tackle ethical issues; data marts tackle hypothetical issues.
C. Data warehouses have a more organization-wide focus; data marts have a functional focus.
D. Data warehouses have a physical focus; data marts have a logical focus.



Answer :

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Final answer:

Data warehouses focus on organization-wide data, while data marts have a functional focus. Metadata management is crucial for distinguishing between the two.


Explanation:

Data warehouses have a more organization-wide focus, while data marts have a functional focus. Data warehouses typically store vast amounts of data from various sources to support analytics across an entire organization, while data marts store subsets of relevant data for specific departments or teams.

Metadata plays a crucial role in distinguishing between these two. Data warehouses often require extensive metadata to manage the organization-wide data effectively, while data marts may have less complex metadata requirements due to their focused nature and smaller scale.

Understanding the differences between data warehouses and data marts is essential for organizations to structure their data efficiently and make informed decisions based on varying business requirements.


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