Data Marts vs Data Warehouses: Understanding the Difference

What is the difference between data marts and data warehouses?

1) Data marts; data warehouses

2) Data marts; data dictionaries

3) Data warehouses; data marts

4) Data warehouses; data dictionaries

Answer:

The difference between data marts and data warehouses lies in the level of control and data management.

Data Marts: Data marts support local control and are meant for specific departments or business lines. They are smaller data repositories that focus on a particular area of a business or a specific group of users.

Data Warehouses: Data warehouses, on the other hand, support central control. They are large-scale data storage systems that gather and manage data from different sources within an organization, providing a centralized view of the data.

This centralized view allows for higher-level analysis and reporting across different areas of the organization, making data warehouses ideal for organizations that require a comprehensive and unified view of their data.

Therefore, the correct pairing given the context of control is 1) Data marts; data warehouses.

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