Comparison of Cloud Solutions for Data Processing

Bernardo De Oliveira Lima Franco Silveira

Bakalářská práce

Abstract:

In this thesis we will be analysing cloud-based solutions for data processing facilitated by machine learning techniques. In the theoretical section, we will first find our Introductory words. Following that we will discuss our objective and methodology. After that we will follow up with a literature review. This literature review will include a section dedicated to several topics pertaining to basic cloud computing subjects, including cloud computing architecture, and the advantages of this type of decentralized data processing. Also present in the review are the subjects pertaining to basic concepts of data science and machine learning, as well as a more focused look into the features offered by the selected cloud-based services in this study. Finally, the review is concluded by a review of the fundamental principles of multi-criteria decision analysis along with a presentation of the most used methods. Once done with the theoretical part we move on to the practical section, where we develop a use case for our analysis and select a data set. Then we discuss the criteria selected and follow up with a discussion of the weights and other MCDA considerations. Finally in our results and discussion section we go over each of our solutions and the partial and final scores achieved to determine which of them is more fitting to our use case.

Keywords

Data Processing, Cloud Computing, Information Technology

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 17. 3. 2022

Obhajoba závěrečné práce

• Obhajoba proběhla 22. 5. 2024
• Vedoucí: Ing. Jan Pavlík
• Oponent: Miloš Ulman, Ph.D.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program:
Informatics