30 citations · 109 across the 25 of their papers we have counts for
3 papers · 1 filter
Approximate Distributed Joins in Apache Spark
Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia +4
The join operation is a fundamental building block of parallel data processing. Unfortunately, it is very resource-intensive to compute an equi-join across massive datasets. The ap…
Approximate Stream Analytics in Apache Flink and Apache Spark Streaming
Do Le Quoc, Ruichuan Chen, Pramod Bhatotia +3
Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact output. The idea behind approximate computing is to c…
Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing
Do Le Quoc, Martin Beck, Pramod Bhatotia +3
How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation, and evalu…