Data Marts and Data Warehouses: Unleashing the Power of Data

How do data marts differ from data warehouses?

a. consolidating information from different departments is easier in data marts than in data warehouses.

b. data marts have more extended scope than data warehouses.

c. data marts usually perform the same types of analysis as data warehouses.

d. access to data is often slower in data marts than in data warehouses.

The Power of Data: Understanding Data Marts vs Data Warehouses

The correct statement about data marts and data warehouse is: data marts have more limited scope than data warehouses. A data mart is a smaller subset of a data warehouse, designed to support the needs of a specific department or group of users.

Data marts typically focus on a specific subject area or business process and contain a subset of the data in the data warehouse. They are often created to support the reporting and analysis needs of a specific business unit or department, such as sales or marketing.

In contrast, a data warehouse is a centralized repository of data that is used to support the reporting and analysis needs of the entire organization. It typically contains data from a variety of sources, such as transactional databases, log files, and external data sources. The scope of a data warehouse is usually much broader than that of a data mart, as it is designed to support the reporting and analysis needs of the entire organization.

In summary, data marts have a more limited scope and focus on a specific subject area or business process, while data warehouses have a broader scope and support the reporting and analysis needs of the entire organization.