Thesis Details

Big Data

Bachelor's Thesis Student: Bútora Matúš Academic Year: 2016/2017 Supervisor: Hruška Tomáš, prof. Ing., CSc.
English title
Big Data
Language
Czech
Abstract

The aim of the bachelor thesis is to describe the Big Data issue and the OLAP aggregate operations. These operations are applied using Apache Hadoop technology. Most of the work is focused on the description of this technology. The last chapter contains application of aggregate operations and their implementation, following the conclusion of the work and the possibility for future development.

Keywords

Big Data, OLAP, Hadoop, aggregate functions, MapReduce, HDFS

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
14 June 2017
Reviewer
Bartík Vladimír, Ing., Ph.D.
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Novák Michal, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
BÚTORA, Matúš. Big Data. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Hruška Tomáš. Available from: https://www.fit.vut.cz/study/thesis/19109/
BibTeX 
@bachelorsthesis{FITBT19109,
    author = "Mat\'{u}\v{s} B\'{u}tora",
    type = "Bachelor's thesis",
    title = "Big Data",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19109/"
}

Theses

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