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Data warehouse automation

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Through Automation, Documentation and Database design

General

Data warehouse automation primarily focuses on automation of each and every step involved in the lifecycle of a data warehouse, thus reducing the efforts required in managing it. 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. In November 2015, an analyst firm has published a guide Which Data Warehouse Automation Tool is Right for You? covering four of the leading products in the DWA space. In November 2015, an international software and technology services company engaged in developing ‘agile tools’ for the data integration industry, was named by CIO Review as one of the 20 most promising productivity tools solution providers 2015.

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