AQuA: Adaptive quality analytics
Wei Zhang, Martin Hirzel, et al.
DEBS 2016
This paper is a survey of recent stream processing languages, which are programming languages for writing applications that analyze data streams. Data streams, or continuous data flows, have been around for decades. But with the advent of the big-data era, the size of data streams has increased dramatically. Analyzing big data streams yields immense advantages across all sectors of our society. To analyze streams, one needs to write a stream processing application. This paper showcases several languages designed for this purpose, articulates underlying principles, and outlines open challenges.
Wei Zhang, Martin Hirzel, et al.
DEBS 2016
Scott Schneider, Martin Hirzel, et al.
DEBS 2013
Ingkarat Rak-amnouykit, Ana Milanova, et al.
Software - Practice and Experience
Guillaume Baudart, Louis Mandel, et al.
JFLA 2017