Demo Data from EDBT 2026 / reviewers in the wild / expert
Ari Ekmekji
dblp:227/1664
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 77% Cloud and datacenter computing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
data provenance |
0.3 | 1 | 2018 | Adding data provenance support to Apache Spark · VLDB J. 2018 |
Cloud and datacenter computing
cluster computing framework |
0.1 | 1 | 2018 | Adding data provenance support to Apache Spark · VLDB J. 2018 |
Methods — techniques the papers use, named apart from their topics
provenance capture · 0.3lineage tracking · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Adding data provenance support to Apache Spark
Matteo Interlandi, Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd D. Millstein, Tyson Condie |
VLDB J. | 2 |