The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Rick F. Van Der Lans - One of the best experts on this subject based on the ideXlab platform.
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Deploying Data Virtualization in Business Intelligence Systems
Data Virtualization for Business Intelligence Systems, 2012Co-Authors: Rick F. Van Der LansAbstract:In this chapter, the topics of business intelligence and Data Virtualization are brought together. It describes how a Data Virtualization Server can be used in a business intelligence system. The advantages and disadvantages of Data Virtualization are described. In addition, the following questions are answered: Why does deploying Data Virtualization in a business intelligence system make the latter more agile? What are the different application areas of Data Virtualization? What are the strategies for adopting Data Virtualization?
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Data Virtualization Server: Caching of Virtual Tables
Data Virtualization for Business Intelligence Systems, 2012Co-Authors: Rick F. Van Der LansAbstract:A Data Virtualization Server consumes cpu cycles and therefore increases the response time of queries executed by the Data consumers. However, for most queries the added amount of processing time is minimal. The performance of a query is determined by the amount of time consumed by the Data Virtualization Server plus the time used by the underlying Data store(s), of which the former will only consume a small fraction and the latter most of the processing time. A Data Virtualization Server can deploy several techniques to improve the performance of queries. These techniques can be classified in two groups: caching and query optimization. This chapter describes caching.
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Data Virtualization Server: The Building Blocks
Data Virtualization for Business Intelligence Systems, 2012Co-Authors: Rick F. Van Der LansAbstract:In this chapter the hood of a Data Virtualization Server is lifted up and the internal technology and the building blocks are discussed in detail. Topics addressed include the following:
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Data Virtualization Server: Query Optimization Techniques
Data Virtualization for Business Intelligence Systems, 2012Co-Authors: Rick F. Van Der LansAbstract:This chapter is devoted to query optimization, the process of determining the best processing strategy for a query. Various techniques can be deployed by Data Virtualization Servers for optimizing the queries entered by Data consumers, including query substitution, query pushdown, query expansion, ship joins, and adding hints.
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The Future of Data Virtualization
Data Virtualization for Business Intelligence Systems, 2012Co-Authors: Rick F. Van Der LansAbstract:This chapter gives an overview of which new features and improvements we may expect to see in the coming years. Note that most of the features described in this chapter have not been implemented yet by the majority of the vendors. The chapter contains the author’s view on the future and the views of the CTOs of three successful Data Virtualization Server vendors: Composite Software, Denodo Technologies, and Informatica Corporation.
