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Radio Frequency IDentification (RFID) tags have emerged as a key technology for real-time asset tracking. Wide application of RFID leads to huge amounts of data being generated from scan of each of these RFID tags on individual items, for example, the RFID system of a moderate size retail chain will generate 300 million RFID scans per day. Extracting meaningful information out of this huge amount of scan data is a challenging task. Moreover CIOs are looking for real time business decision from this RFID scan data. In this paper we show how to add value to an RFID middleware system by enabling it to handle a large number of RFID scan data and execute business rules in real-time. Experimentally we demonstrate that our proposed approach is very time efficient compare to a similar implementation with existing technologies. Lastly we also propose an architecture for a distributed RFID middleware system to handle raw RFID scan data.