According to The Data Warehousing Institute (TDWI):
A "Data Warehouse" is a data structure that is optimized for distribution. It collects and stores integrated sets of historical data from multiple operational systems and feeds them to one or more data marts. It may also provide end-user access to support enterprise views of data.If there is demand, we may grow sub-categories that mirror the strategy used in the Atlas of Data Warehousing (also from TDWI) for related categories:
Provider of technology for enterprise and e-finance data management infrastructure as a platform for decision support applications.
DAG specializes in software development, platform unification, and systems integration for decision support solutions (DSS).
Chuo-Han Lee provides a high level overview of the steps involved with a data warehousing project.
List of links to online research papers on data warehousing and OLAP.
ETI provides software solutions for automating data integration management, which includes implementing applications, building IT infrastructures, and developing data warehouses.
Open source column-oriented DBMS based on MySQL.
Integrated reporting and data access software solutions that provide access to databases in Internet, intranet, or client/server environments by meshing diverse Web, ERP, and legacy applications.
Interactive features, case studies and thought leadership for the data management community.
Focuses on the deployment of data warehousing strategies and technologies. Site provides links to case studies, expert advice, vendor directories, publications, white papers and data warehousing events.
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