Execution and optimization of continuous queries with cyclops
Harold Lim, Shivnath Babu · 2013
As the data collected by enterprises grows in scale, there is a growing trend of performing data analytics on large datasets. Batch processing systems that can handle petabyte scale of data, such as Hadoop, have flourished and gained traction in the industry. As the results of batch analytics have been used to continuously improve front-facing user experience, there is a growing interest in pushing the processing latency down. This trend has fueled a resurgence in the development and usage of execution engines that can process continuous queries.