Machine learning in python with no strings attached
Guillaume Baudart, Martin Hirzel, et al.
MAPL/PLDI 2019
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.
Guillaume Baudart, Martin Hirzel, et al.
MAPL/PLDI 2019
Martin Hirzel, Robert Grimm
OOPSLA 2007
Eric Atkinson, Charles Yuan, et al.
Proceedings of the ACM on Programming Languages
Byeongcheol Lee, Martin Hirzel, et al.
Software - Practice and Experience