A data warehouse is typically composed of what type of data?

The correct answer encompasses both historical and current data, focusing on the breadth of information stored within a data warehouse. A data warehouse is specifically designed to support business intelligence activities, which require not only historical data for trend analysis but also current data to provide relevant insights for decision-making.

The inclusion of both types ensures that organizations can perform comparative analysis, track performance over time, and make data-driven decisions based on both past trends and present conditions. This comprehensive approach aids in revealing patterns and correlations that might not be evident when examining historical data alone.

While the other options mention either historical data, current data, or specify types of data sources, they do not capture the full scope of what a data warehouse typically integrates. The emphasis on both historical and current internal data effectively highlights the dynamic and versatile nature of a data warehouse as a central repository for comprehensive data analytics.