Findings from National Research Institute of Science and Technology for Environment and Agriculture Provides New Data on Information and Data Aggregation (Design and Implementation of Active Stream Data Warehouses)

Information Technology Daily |

2019 JUN 12 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- Investigators publish new report on Information Technology - Information and Data Aggregation. According to news reporting out of Aubiere, France, by NewsRx editors, research stated, “In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects.”

Our news journalists obtained a quote from the research from the National Research Institute of Science and Technology for Environment and Agriculture, “Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators.”

According to the news editors, the research concluded: “The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.”

For more information on this research see: Design and Implementation of Active Stream Data Warehouses. International Journal of Data Warehousing and Mining, 2019;15(2):1-21. International Journal of Data Warehousing and Mining can be contacted at: Igi Global, 701 E Chocolate Ave, Ste 200, Hershey, PA 17033-1240, USA.

Our news journalists report that additional information may be obtained by contacting S. Bimonte, National Research Institute of Science and Technology for Environment and Agriculture, Aubiere, France. Additional authors for this research include O. Boussaid, F. Ruelle and M. Schneider.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.4018/IJDWM.2019040101. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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