How is data warehousing defined in the DMBOK framework?

In the DAMA-DMBOK framework, data warehousing is defined as a system designed for reporting and data analysis that stores both current and historical data. This definition is crucial because a data warehouse serves as a centralized repository where integrated data from multiple sources is organized, thus enabling comprehensive analysis and decision-making.

The emphasis on both current and historical data in the definition illustrates the data warehouse's role in providing insights over time, allowing organizations to track trends, perform complex queries, and generate reports on past performance alongside real-time data. This functionality is vital for business intelligence, making it easier for stakeholders to analyze data across various dimensions without impacting the performance of operational systems.

In contrast, the other options specify aspects that are not aligned with the intrinsic purpose of a data warehouse. Temporary storage for transactional data is more characteristic of databases that handle day-to-day operations, while methods for deleting obsolete data and techniques for data encryption pertain to data management practices rather than defining a data warehousing system. Thus, the correct answer encapsulates the core intent and capability of data warehousing as outlined in the DMBOK framework.