Data Aggregation-An Intervention Approach For Continuous Queries Using Data Aggregators

Data aggregation is a common feature and practice where data is searched, gathered and presented in a report-based, summarized format to achieve specific business objectives or processes and/or conduct human analysis. Data aggregator is a determining factor for overall execution of continuous queries that make appropriate decisions which contribute to improved outcomes for struggling learners. The purpose of this study is to assess the information loss associated with data aggregation. Also, this study includes continuously monitoring, querying, analyzing aggregated and disaggregated data that provide results helpful for large number of users with high security, accuracy, efficiency, and scalability. Hence, we are investigates intervention approach for continuous queries using data aggregators. This assessment requires a clear methodology for implementing continuous querying against the quantifying information loss through data aggregators. The conclusion of this study is that usage of data aggregators to simplify continuous query to improve result and analyzing significant amount of information.