Data Warehouse benefits include which of the following?

Data Warehouse benefits include which of the following?

• A. Real-time transactional processing
• B. Single source of managerial information on a unified view
• C. Replacing operational databases
• D. Storing only unstructured data

Answer: (B)

The main idea is that a data warehouse provides a single, integrated source of managerial information across the organization. It collects data from many operational systems, cleans and integrates it through ETL, and stores it in a consistent, historical, query-friendly format. This gives managers a unified view with consistent metrics, enabling reliable reporting and analysis across departments. Real-time transactional processing is the domain of operational (OLTP) systems, which handle many concurrent updates. A data warehouse is optimized for querying and analysis, often with historical data, rather than processing day-to-day transactions in real time. Replacing operational databases isn’t the goal of a data warehouse; it serves as a complementary analytics layer that users leverage alongside the operational systems. Storing only unstructured data isn’t accurate either—data warehouses typically hold structured (and sometimes semi-structured) data organized to support efficient querying and reporting, rather than focusing exclusively on unstructured content.

The main idea is that a data warehouse provides a single, integrated source of managerial information across the organization. It collects data from many operational systems, cleans and integrates it through ETL, and stores it in a consistent, historical, query-friendly format. This gives managers a unified view with consistent metrics, enabling reliable reporting and analysis across departments.

Real-time transactional processing is the domain of operational (OLTP) systems, which handle many concurrent updates. A data warehouse is optimized for querying and analysis, often with historical data, rather than processing day-to-day transactions in real time. Replacing operational databases isn’t the goal of a data warehouse; it serves as a complementary analytics layer that users leverage alongside the operational systems. Storing only unstructured data isn’t accurate either—data warehouses typically hold structured (and sometimes semi-structured) data organized to support efficient querying and reporting, rather than focusing exclusively on unstructured content.