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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. Enterprise bus matrix - Wikipedia

    en.wikipedia.org/wiki/Enterprise_bus_matrix

    The bus matrix purpose is one of high abstraction and visionary planning on the data warehouse architectural level. By dictating coherency in the development and implementation of an overall data warehouse the bus architecture approach enables an overall vision of the broader enterprise integration and consistency while at the same time dividing the problem into more manageable parts [2 ...

  4. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    The technology plan is focused on the actual tangible elements to be used in the implementation of the data architecture design. Physical data architecture encompasses database architecture. Database architecture is a schema of the actual database technology that would support the designed data architecture.

  5. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables .

  6. Kimball lifecycle - Wikipedia

    en.wikipedia.org/wiki/Kimball_lifecycle

    Technical architecture design is supposed to create a framework for the data warehouse or business intelligence system. The main focus in this phase is to create a plan for the application architecture, while considering business requirements, technical environment and the planned strategic technical directions.

  7. Data vault modeling - Wikipedia

    en.wikipedia.org/wiki/Data_Vault_Modeling

    In its early days, Dan Linstedt referred to the modeling technique which was to become data vault as common foundational warehouse architecture [8] or common foundational modeling architecture. [9] In data warehouse modeling there are two well-known competing options for modeling the layer where the data are stored.

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