Advanced Database Systems and Queries

Modern applications—financial tickers, sensor networks, network traffic monitors—generate data far too fast and continuously for traditional databases, which were designed around storing data first and querying it later. Data stream management systems flip that model, keeping queries persistent and running them against data as it flows through, raising hard problems around how to process infinite sequences with finite memory and within strict latency budgets. Researchers are also asking how much accuracy can be safely traded away through approximate query processing to gain speed, and how storage layouts like column-oriented designs can be adapted to accelerate analytical queries over both archived and live data. Open challenges include handling out-of-order arrivals, scaling continuous queries across distributed networks, and integrating rich data formats like XML with the high-throughput demands of real-time stream processing.

Works

109,145

Total citations

1,139,467

Keywords

Data Stream ManagementContinuous QueriesXMLRelational Database SystemsQuery OptimizationStream Processing