Thesis Details

NoSQL databáze pro data senzorů s podporou časových řad

Master's Thesis Student: Vizina Petr Academic Year: 2016/2017 Supervisor: Rychlý Marek, RNDr., Ph.D.
English title
NoSQL Time Series Database for Sensor Data
Language
Czech
Abstract

This thesis deals with NoSQL databases, which can be used for effective storage of sensors data with character of time series. The aim is to design and implement own solution for database designed to store time series data, with usage of NoSQL.

Keywords

NoSQL, time series data, databases, sensors, IoT, MongoDb, Java

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade D
Date
20 June 2017
Reviewer
Burget Radek, doc. Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Balík Miroslav, Ing., Ph.D. (FIT CTU), člen
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
VIZINA, Petr. NoSQL databáze pro data senzorů s podporou časových řad. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-20. Supervised by Rychlý Marek. Available from: https://www.fit.vut.cz/study/thesis/19637/
BibTeX 
@mastersthesis{FITMT19637,
    author = "Petr Vizina",
    type = "Master's thesis",
    title = "NoSQL datab\'{a}ze pro data senzor\r{u} s podporou \v{c}asov\'{y}ch \v{r}ad",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19637/"
}

Theses

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