A data warehouse is a central data storage for managing structured data.

Data Warehousing describes the operational extract, cleansing, transformation, con-trol, and load processes that maintain the data in a data warehouse so that it can be used by BI. The data warehousing process focuses on enabling an integrated and his-torical business context on operational data by enforcing business rules and maintain-ing appropriate business data relationships. Also includes processes that interact with Metadata repositories.

• An integrated, centralized decision support database and the related soft-ware programs used to collect, cleanse, transform, and store data from a variety of operational sources to support Business Intelligence. A Data Warehouse may also include dependent data marts. (DAMA-DMBOK Guide, 1st edition, pg. 197.)
• A subject oriented, integrated, time variant, and non-volatile collection of summary and detailed historical data used to support the strategic deci-sion-making processes for the corporation. (“What is a Data Ware-house?” W.H. Inmon, Prism, Volume 1, Number 1, 1995)
• A copy of transaction data specifically structured for query and analysis. (Ralph Kimball, The Data Warehouse Toolkit, pg. 310.)

A data warehouse makes it easy to store and manage large amounts of data, and to run complex queries against the data.

• Rani, Isha (2023). Key data terms explained. LinkedIn Post.
• Earley, S. (2011). The DAMA Dictionary of Data Management (DDDM). Technics Publications, LLC, New Jersey.