Choosing Between Data Marts and Data Warehouses

What are the key differences between data marts and data warehouses?

As you consider whether to implement data marts or data warehouses in your organization, it is important to understand the distinctions between the two. Which option supports local control, whereas the other supports central control?

Answer:

The correct choice is: data mart; data warehouse

When it comes to choosing between data marts and data warehouses, it's essential to grasp their unique characteristics and functionalities. Data marts are specifically designed for local control, meaning they focus on a particular department or business unit within an organization. They are smaller in scale, easier to implement, and cater to specific user needs.

On the other hand, data warehouses are centralized repositories that support central control. They consolidate data from various sources across the organization and provide a unified view of the data for decision-making purposes. Data warehouses are larger in scope and scale, offering a comprehensive and integrated view of the organization's data.

Ultimately, the choice between data marts and data warehouses depends on your organization's specific requirements and objectives. Consider factors such as data complexity, scalability, user needs, and governance requirements when making this decision.