Data Freshness Evaluation in Different Application Scenarios1
نویسندگان
چکیده
Data freshness has been identified as one of the most important data quality attributes in information systems. This importance increases especially in the context of systems that integrate a large set of autonomous data sources. In this paper we describe a quality evaluation framework which allows evaluation of data freshness in different architectural contexts. We also show how this quality factor may impact the reconfiguration of a data integration system to fulfill user expectations.
منابع مشابه
Analyzing and Evaluating Data Freshness in Data Integration Systems
Data freshness has been identified as one of the most important data quality attributes in information systems. This importance increases particularly in the context of systems composed of a large set of autonomous data sources where integrating data having different freshness may lead to semantic problems. This paper addresses the problem of evaluating data freshness in a data integration syst...
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