EDBT 2026 Demo / reviewers in the wild / expert
Nat Storer
dblp:199/6317
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 |
Spatial and temporal data management · 77% Indexing and storage engines · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Spatial and temporal data management › time series data management
time series database |
0.3 | 1 | 2017 | LittleTable: A Time-Series Database and Its Uses · SIGMOD Conference 2017 |
Indexing and storage engines
time series storage |
0.1 | 1 | 2017 | LittleTable: A Time-Series Database and Its Uses · SIGMOD Conference 2017 |
Methods — techniques the papers use, named apart from their topics
relational database design · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | LittleTable: A Time-Series Database and Its UsesabstractWe present LittleTable, a relational database that Cisco Meraki has used since 2008 to store usage statistics, event logs, and other time-series data from our customers' devices. Sean C. Rhea, Edmund Wong, Ethan Atkins, Nat Storer |
SIGMOD Conference | 5 |