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Data Warehouse Architecture: Practices and Trends

Data Warehouse Architecture: Practices and Trends
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Author(s): Xuegang Huang (Danske Bank Group, Denmark)
Copyright: 2010
Pages: 15
Source title: Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
Source Author(s)/Editor(s): Pedro Nuno San-Banto Furtado (University of Coimbra, Portugal)
DOI: 10.4018/978-1-60566-816-1.ch001

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Abstract

The wide adoption of business intelligence applications has let more and more organizations to build and maintain data warehouse systems. Concepts like “unified view of data” and “one version of the truth” have been the main drive of creating data warehouses. The dynamics of the business world poses the challenges of managing large volume, complex data in data warehouses while the real-time integration and master data needs are presented. This chapter summarizes the past and present patterns of typical data warehouse architectures and describes how the concept of service-oriented architecture influences the future evolvement of data warehouse architecture. The discussion takes many real world requirements in data warehouse solutions and lists considerations on how architecture patterns can solve these requirements.

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