Blending OLAP Processing with Real-Time Data Streams

被引：0
|
作者：
Costa, Joao [1 ]
Cecilio, Jose [2 ]
Martins, Pedro [2 ]
Furtado, Pedro [2 ]
机构：
[1] Polytech Coimbra, Coimbra, Portugal
[2] Univ Coimbra, P-3000 Coimbra, Portugal
来源：
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PT II | 2011年 / 6588卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
CEP and Databases share some characteristics but traditionally are treated as two separate worlds, one oriented towards real-time event processing and the later oriented towards long-term data management. However many real-time data and business intelligence analysis do need to confront streaming data with long-term stored one. For instance, how do current power consumption and power grid distribution compare with last year's for the same day? StreamNetFlux is a novel system that recently emerged to the market designed to integrate CEP and database functionalities. This blending allows the processing of queries that need such capabilities with top efficiency and scalability features.
引用
收藏
页码：446 / +
页数：2
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