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2. Data warehouse automation - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse_automation

   Data warehouse automation works on the principles of design patterns. It comprises a central repository of design patterns, which encapsulate architectural standards as well as best practices for data design, data management, data integration, and data usage. [3]

3. Kimball lifecycle - Wikipedia

   en.wikipedia.org/wiki/Kimball_lifecycle

   The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1]

4. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   The hybrid architecture allows a data warehouse to be replaced with a master data management repository where operational (not static) information could reside. The data vault modeling components follow hub and spokes architecture. This modeling style is a hybrid design, consisting of the best practices from both third normal form and star ...

5. Data vault modeling - Wikipedia

   en.wikipedia.org/wiki/Data_Vault_Modeling

   It is documented in the book: Building a Scalable Data Warehouse with Data Vault 2.0. [13] It is necessary to evolve the specification to include the new components, along with the best practices in order to keep the EDW and BI systems current with the needs and desires of today's businesses.

6. 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 ...

7. 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 ...