18 citations · 46 across the 16 of their papers we have counts for
3 papers · 1 filter
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…
Evaluating Query Languages and Systems for High-Energy Physics Data [Extended Version]
Dan Graur, Ingo Müller, Mason Proffitt +3
In the domain of high-energy physics (HEP), query languages in general and SQL in particular have found limited acceptance. This is surprising since HEP data analysis matches the S…
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…