A structured central data repository that stores data in a pred-defined model for business intelligence.
Added Perspectives
All this begs the question, “What is a data warehouse?” In my humble opinion, a data warehouse is a business view of data that supports decision making. At a logical level, it’s a data model that is subject-oriented, integrated, time-variant, and non-volatile—Bill Inmon’s definition from the 1990s, which is still valid....
- Wayne Eckerson in Whither the Data Warehouse? Reflections From Strata NYC 2017
October 12, 2017 (Blog)
The data warehouse (DW) is a central repository for enterprise data and hence a key element of a business intelligence architecture. It usually extracts and stores data from various sources in order to transform and provide data for reporting and analytics. Consequently, DWs are usually rather sophisticated solutions and the management of a DW can be challenging. Moreover, changes in a DW are often very slow since they have to be approved by many stakeholders, and the subsequent deployment process is often very complicated and involves manual interventions.
- Julian Ereth in DevOps in Business Intelligence and Analytics
June 19, 2017 (Blog)
Relevant Content
Mar 23, 2018 - In this podcast, Henry Eckerson interviews Dave Wells on the current health and future of the data warehouse.
Dec 31, 2018 - In this episode, Daniel Graham dissects the capabilities of data lakes and compares it to data warehouses. He talks about the primary use cases of data...
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