Data warehouses typically store large amounts of which type of data?

Data warehouses are specifically designed for storing and managing large volumes of internal data that an organization collects and generates over time. This internal data may include operational data from transactional systems, historical data related to sales, customer information, and financial records. The structure of a data warehouse allows for effective querying and analysis of this data, facilitating decision-making processes across the organization.

The focus on internal data is crucial because it allows businesses to consolidate and analyze insights that are directly relevant to their operations and performance. Organizations leverage this internal data for various analytical purposes, such as business intelligence reporting and trend analysis.

While external data can be integrated into data warehouses for a more comprehensive view, the primary function of a data warehouse is to support the analysis of an organization's own internal data. Public data may come from open datasets available to anyone, and archived data refers to older data that is retained for reference or compliance but may not be the focal point of analysis. Thus, internal data is the cornerstone of a data warehouse's ability to provide valuable insights for decision-making.