Blending OLAP Processing with Real-Time Data Streams



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.


Stream; DW


Stream; DW


DASFAA, April 2011

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