REAL TIME DATA STREAM AGGREGATION AND WINDOWING
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Abstract
Now a Days Real time data analysis and Real time data processing is in demand and its demand is getting increase day by day, as we know Real time data processing is the continuous data stream processing and the data stream could be flow in rate of millions data points per seconds.
This real time data stream information which will be further used for various purposes, it could be for commercial use or for scientific use .while processing the real time data stream proper methodologies with good approximations have to be used for stream data preparation and aggregation .In my survey I have provided the study about data stream aggregation techniques and their characteristics to improve the performance. Here we would discuss the way of stream aggregation and time based grouping (Windowing) using suitable techniques, the important thing in data stream aggregation is to aggregate right set of data and for using windowing of stream for aggregation, Here we would discuss different windowing techniques.
This real time data stream information which will be further used for various purposes, it could be for commercial use or for scientific use .while processing the real time data stream proper methodologies with good approximations have to be used for stream data preparation and aggregation .In my survey I have provided the study about data stream aggregation techniques and their characteristics to improve the performance. Here we would discuss the way of stream aggregation and time based grouping (Windowing) using suitable techniques, the important thing in data stream aggregation is to aggregate right set of data and for using windowing of stream for aggregation, Here we would discuss different windowing techniques.
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