Corpus ID: 69465086

Squall : Scalable Real-time Analytics using Efficient , Skew-resilient Join Operators

@inproceedings{Vitorovic2016SquallS,
  title={Squall : Scalable Real-time Analytics using Efficient , Skew-resilient Join Operators},
  author={Aleksandar Vitorovic},
  year={2016}
}
Squall is a scalable online query engine that runs complex analytics in a cluster using skewresilient, adaptive operators. Online processing implies that results are incrementally built as the input arrives, and it is ubiquitous for many applications such as algorithmic trading, clickstream analysis and business intelligence (e.g., in order to reach a potential customer during the active session). This thesis presents an overview of Squall, including some novel join operators, as well as… Expand
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Efficient Online Processing for Advanced Analytics
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