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A new approach to adaptive data models.

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Název: A new approach to adaptive data models.
Autoři: LUNGU, Ion, MIHALACHE, Andrei
Zdroj: Database Systems Journal; 2016, Vol. 7 Issue 2, p19-27, 9p
Témata: ADAPTIVE computing systems, COMPUTATIONAL complexity, ACQUISITION of data, REAL-time computing, INFORMATION storage & retrieval systems, DATA modeling
Abstrakt: Over the last decade, there has been a substantial increase in the volume and complexity of data we collect, store and process. We are now aware of the increasing demand for real time data processing in every continuous business process that evolves within the organization. We witness a shift from a traditional static data approach to a more adaptive model approach. This article aims to extend understanding in the field of data models used in information systems by examining how an adaptive data model approach for managing business processes can help organizations accommodate on the fly and build dynamic capabilities to react in a dynamic environment. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:Over the last decade, there has been a substantial increase in the volume and complexity of data we collect, store and process. We are now aware of the increasing demand for real time data processing in every continuous business process that evolves within the organization. We witness a shift from a traditional static data approach to a more adaptive model approach. This article aims to extend understanding in the field of data models used in information systems by examining how an adaptive data model approach for managing business processes can help organizations accommodate on the fly and build dynamic capabilities to react in a dynamic environment. [ABSTRACT FROM AUTHOR]
ISSN:20693230