Data integration system - create the unified view, and to integrate new sources

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<h1>Data integration system - create the unified view, and to integrate new sources</h1><strong> Author: <a href='http://www.articleseen.com/profile_Denish.aspx'>Denish</a></strong><br /><p>Data integration is the system of uniting data exists in at dissimilar data sources, and offering the user with a combined representation of these data. Queries are quantified over the provided combined view, and require to be translated on to the source schemas. The results achieved after performing the queries should be united. A perfect data integration system once constructed should deliver a language to generate the unified view, and to integrate new sources when needed. It should also offers interfaces for continuous querying by a manual user and programs. In a Data Integration System, there may be a case that the data recovered from the data sources cannot be reconciled in the mediated schema in such a way that both the restraints of the mediated schema and the mappings are pleased. data integration Systems categorized by the mediated schema - base schema architecture. One of the most significant features in the design of these systems is the requirement of correspondence between the reconciled and the base schemas. Such a correspondence is modeled through the notion of mapping. The main aim of a data integration system is to reply queries modeled by the user in terms of the global schema. Obviously, query processing depends on the form of the data integration system and, explicitly, on whether the global and local method is accepted and on the form of restraints permitted on the global schema. In data integration system, it is particularly tough the integration of data coming from various sources that have various schema, various levels of excellence and belief, and independent evolution and administration. Maintaining traceability, brightness, non-duplication and reliability of very big data volumes for integration and decision-making purposes is thus one of the major technical challenges in today world. In last, data integration systems target to support universal updates. Data consistency among data sources is not yet required at the integration level or required in an ad hoc style which leads to terminated checking of uniformity or unrepairable errors. This paper aims to deliver XQuery trigger service to impose data integrity and data consistency in the DIS at the integration level. In last, data integration systems target to support universal updates. Data consistency among data sources is not yet required at the integration level or required in an ad hoc style which leads to terminated checking of uniformity or unrepairable errors. This paper aims to deliver XQuery trigger service to impose data integrity and data consistency in the DIS at the integration level. </p><strong>About the Author:</strong><br />Author is an expert on <a rel="nofollow" href=http://www.adeptia.com/products/ais.html><b>data integration</b></a> tools and <a rel="nofollow" href=http://www.adeptia.com><b>integration software</b></a> and if you are looking data integration project then he will recommend best tips for selecting the right tool to manage the business. <a rel="nofollow" href=http://www.adeptia.com/products/integration_vendor_comparison.html><b>Compare Integration vendor</b></a> here<p> Article Source: <a href='http://www.articleseen.com/Article_Data-integration-system-create-the-unified-view-and-to-integrate-new-sources_69700.aspx'> http://www.articleseen.com/Article_Data integration system - create the unified view, and to integrate new sources_69700.aspx</a></p>

Article Source : http://www.articleseen.com/Article_Data integration system - create the unified view, and to integrate new sources_69700.aspx

Keywords : data integration, application integration,

Category : Computers : Software