A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
How to Win a Hot Dog Eating Contest
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
In the quest for valuable information, modern big data applications continuously monitor streams of data. These applications demand low latency stream processing even when faced with high volume and velocity of incoming changes and the user's desire to ask complex queries. In this paper, we study low-latency incremental computation of complex SQL queries in both local and distributed streaming environments. We develop a technique for the efficient incrementalization of queries with nested
doi:10.1145/2882903.2915246
dblp:conf/sigmod/NikolicD016
fatcat:bnqsj45fh5fkzldf3rf6gx43ta