Data analytics σε real-time βάση δεδομένων στο Google Firebase Framework

Μαθιός, Γεώργιος

Data analytics on a real-time database developed in Google Firebase Framework

Master Thesis

Author

Μαθιός, Γεώργιος

Date

2017-10

Abstract

The diploma thesis presented below was created and compiled for the completion of the postgraduate program "Advanced Informatics Systems" of the University of Piraeus. In the following pages will be a presentation of a new and very important area of computer science in recent years. This is the sector of Data Analytics and their usefulness for scientists today. The collection of huge databases for many areas of everyday life, as well as the interaction with them, is the main issue to be discussed. The thesis is based on the assumption that someone created a real-time database with many raw data. This database was then given to the researcher so as to perform data analytics – without manipulating the data itself (in any way he wishes or finds suitable), present the results and make a series of useful conclusions. In this case, this database was created by collecting data through an application that was developed for mobile phones and tablets. The data collected and stored in the database come not only from various sensors of the mobile devices, but also from the interface of the application with the user's own passenger vehicle. The database used was constructed within the Google Firebase framework. In order to be able to visualize the result of the collection of data, a website was created. After the necessary conversions were made, the researcher executed queries (through source code) in order to perform Data Analytics that led him in extracting various conclusions for the database. Based on the above, it has been shown that the use of such applications for the purpose of collecting data may lead future researchers to studies on the Data Analytics sector, which can significantly affect the various technology sectors even on industrial level.

Postgraduate Studies Programme

Προηγμένα Συστήματα Πληροφορικής

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/10877

Collections

Τμήμα Πληροφορικής

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