most citedRumble: Data Independence for Large Messy Data Sets

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…