most citedRumble: Data Independence for Large Messy Data Sets

2 citations · 2 across the 2 of their papers we have counts for

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cs.DB2021

RumbleML: program the lakehouse with JSONiq

Ghislain Fourny, David Dao, Can Berker Cikis +2

Lakehouse systems have reached in the past few years unprecedented size and heterogeneity and have been embraced by many industry players. However, they are often difficult to use…

cs.DB2019★ 2 cited

Rumble: Data Independence for Large Messy Data Sets

Ingo Müller, Ghislain Fourny, Stefan Irimescu +2

This paper introduces Rumble, a query execution engine for large, heterogeneous, and nested collections of JSON objects built on top of Apache Spark. While data sets of this type a…