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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]
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]
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 ...
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.
Author Jonathan Koomey has recommended a series of best practices for understanding quantitative data. [60] These include: Check raw data for anomalies prior to performing an analysis; Re-perform important calculations, such as verifying columns of data that are formula driven; Confirm main totals are the sum of subtotals;
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 ...
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