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2. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

3. Data mart - Wikipedia

   en.wikipedia.org/wiki/Data_mart

   A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1] Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department.

4. Data warehouse appliance - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse_appliance

   "Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.

5. Enterprise data management - Wikipedia

   en.wikipedia.org/wiki/Enterprise_data_management

   Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.

6. Data redundancy - Wikipedia

   en.wikipedia.org/wiki/Data_redundancy

   Download QR code; Print/export Download as PDF ... auxiliary storage and computer buses, data redundancy is the existence of data that is additional to the actual ...

7. Data warehouse automation - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse_automation

   Data warehouse automation (DWA) refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation .

8. Aggregate (data warehouse) - Wikipedia

   en.wikipedia.org/wiki/Aggregate_(data_warehouse)

   An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the number of rows to be accessed when responding to a ...

9. Ralph Kimball - Wikipedia

   en.wikipedia.org/wiki/Ralph_Kimball

   Ralph Kimball (born July 18, 1944 [1]) is an author on the subject of data warehousing and business intelligence.He is one of the original architects of data warehousing and is known for long-term convictions that data warehouses must be designed to be understandable and fast.