Usporedba relacijskih baza podataka i baza podataka za vremenske sljedove za velike skupove podataka pristiglih u stvarnom vremenu

master's thesis

• Title (english): Comparison of Relational and Time-Series Databases for Real-Time Massive Datasets
• Author: Ema Musa
• Mentor: Goran Delač (mentor)
• Committee member: Goran Delač (predsjednik povjerenstva)
• Committee member: Siniša Srbljić (član povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Baza podataka za vremenske sljedove je baza podataka optimizirana za podatke koji sadrže vremenske oznake ili za vremenske sljedove. Vremenski sljedovi obuhvaćaju mjerenja ili događaje koji se prate, nadgledaju, uzorkuju i prikupljaju tijekom vremena. Trenutno najpopularnija baza podataka za vremenske sljedove je InfluxDB. InfluxDB je baza podataka otvorenog koda, bez sheme, napisana u programskom jeziku Go te optimizirana za obradu podataka vremenskih sljedova. Podržava jezik za pisanje upita naziva InfluxQL. Glavna prednost korištenja baze podataka za vremenske sljedove nad relacijskim bazama podataka uključuje brže izvršavanje agregatnih funkcija i brže grupiranje rezultata po raznovrsnim vremenskim intervalima.

Abstract (english)

A time-series database is a database type which is optimized for time-stamped data or time series. Time series include measurements or events that are tracked, monitored, sampled and aggregated over time. Currently, the most popular time-series database is InfluxDB. InfluxDB is an open-source schemaless database written in Go programming language and it is optimized to handle time series data. The main advantage of using a time-series database over a relational database includes faster aggregation and faster result grouping by various time intervals.

• Keywords: baza podataka; vremenski slijed; vremenska oznaka; InfluxDB; mjera; oznaka; polje
• Keywords (english): database; time-series; timestamp; InfluxDB; measurement; tag; field
• Language: croatian
• URN:NBN: urn:nbn:hr:168:568098
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Repository: FER Repository
• Created on: 2019-03-13 23:19:23