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Informationen zum Autor Rick F. van der Lans is an independent consultant, author, and lecturer specializing in business intelligence, data warehousing, and database technology. He is the managing director of R20/Consultancy which is based in The Netherlands. Rick has advised many large companies worldwide on defining their data warehouse architectures. He is the chairman of the annual European BI and Data Warehousing Conference organized in London, he writes for B-eye-Network.com, BI-platform.nl, and for Database Magazine. He is the author of several books on database technology, including Introduction to SQL (Addison-Wesley, 2006), currently in its fourth edition. Klappentext As the need to bring increasing quantities of disjointed data together for reporting and developing new systems continues to explode, the need for new technologies like data virtualization is becoming more important. Data virtualization is a new technology for data integration that makes a set of data stores look like one logical database for applications and integrates data live (on-demand). In data warehouse environments, data from many different data sources has to be integrated as well. This is usually done daily or weekly, so users will always see data that is not 100% current. By applying data virtualization as the data integration solution in a data warehouse environment, users will be able to see more timely data; in addition, the data warehouse environments become simpler and more flexible, and it will reduce costs. Zusammenfassung Explains how data virtualization servers work! what techniques to use to optimize access to various data sources and how these products can be applied in different projects. This title outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. Inhaltsverzeichnis 1 Introduction to Data Virtualization2 Under the Hood of a Data Virtualization Server3 Caching of Virtual Tables4 Query Optimization Techniques5 Data Warehousing and Business Intelligence6 A Business Intelligence Architecture based on Data Virtualization7 Design Guidelines for Data Virtualization8 Data Virtualization and SOA9 Data Virtualization and Master Data Management10 Data Virtualization, Information Management, and Data Governance11 The Data Delivery Platform ¿ A New Architecture for Information Management12 The Future of Data Virtualization...
