EDBT 2026 Demo / reviewers in the wild / expert

Xavier Léauté

dblp:147/1264 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 61% Indexing and storage engines · 30% Query processing and optimization · 9%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines
column store		 0.212014
Druid: a real-time analytical data store · SIGMOD Conference 2014
Database system architecture and tuning › parallel database system
shared-nothing architecture		 0.212014
Druid: a real-time analytical data store · SIGMOD Conference 2014

Methods — techniques the papers use, named apart from their topics

advanced indexing structure · 0.2
YearPublicationVenuePosition
2014 Druid: a real-time analytical data store
abstract
Druid is an open source data store designed for real-time exploratory analytics on large data sets. The system combines a column-oriented storage layout, a distributed, shared-nothing architecture, and an advanced indexing structure to allow for the arbitrary exploration of billion-row tables with sub-second latencies. In this paper, we describe Druid's architecture, and detail how it supports fast aggregations, flexible filters, and low latency data ingestion.
Fangjin Yang, Eric Tschetter, Xavier Léauté, Nelson Ray, Gian Merlino, Deep Ganguli
 SIGMOD Conference3