Stream Processing Languages in the Big Data Era

Martin Hirzel, Guillaume Baudart, Angela Bonifati, Emanuele Della Valle, Sherif Sakr, Akrivi Akrivi Vlachou
<span title="2018-12-11">2018</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/svqjiw2cwzftpcod3duuxcbveu" style="color: black;">SIGMOD record</a> </i> &nbsp;
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
more &raquo; ... anguages designed for this purpose, articulates underlying principles, and outlines open challenges.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3299887.3299892">doi:10.1145/3299887.3299892</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/znnnhxbl3rh2rmkrcpbitp6kiy">fatcat:znnnhxbl3rh2rmkrcpbitp6kiy</a> </span>
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