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2. Data vault modeling - Wikipedia

   en.wikipedia.org/wiki/Data_Vault_Modeling

   Data vault is designed to avoid or minimize the impact of those issues, by moving them to areas of the data warehouse that are outside the historical storage area (cleansing is done in the data marts) and by separating the structural items (business keys and the associations between the business keys) from the descriptive attributes.

3. 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 ...

4. 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.

5. Dimensional modeling - Wikipedia

   en.wikipedia.org/wiki/Dimensional_modeling

   The process of dimensional modeling builds on a 4-step design method that helps to ensure the usability of the dimensional model and the use of the data warehouse. The basics in the design build on the actual business process which the data warehouse should cover. Therefore, the first step in the model is to describe the business process which ...

6. Category:Data warehousing - Wikipedia

   en.wikipedia.org/wiki/Category:Data_warehousing

   Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. ... Data warehouse automation;

7. 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 ...

8. Dimension (data warehouse) - Wikipedia

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

   A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product. A dimensional data element is similar to a categorical variable in statistics.

9. 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 .