Using relational databases for time series data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA210295U" target="_blank" >RIV/61988987:17310/18:A210295U - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/1.5079066" target="_blank" >http://dx.doi.org/10.1063/1.5079066</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.5079066" target="_blank" >10.1063/1.5079066</a>
Alternative languages
Result language
angličtina
Original language name
Using relational databases for time series data
Original language description
The paper deals with a possibility of using relational databases when storing and managing time series data. It discusses the possibilities of using NoSQL databases as well as the issue of scaling and its implementation into time series. It also mentions advantages of this approach with respect to keeping sophisticated qualities of the SQL language
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIP Conference Proceedings
ISBN
978-073541766-3
ISSN
0094-243X
e-ISSN
—
Number of pages
4
Pages from-to
200-204
Publisher name
American Institute of Physics Inc.
Place of publication
Greece
Event location
Greece
Event date
Mar 14, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000467966400022