The project in five facts.
Challenge, approach and results.
The author researched streaming music content (Spotify and YouTube Music) and Big Data, as well as the connection between them. The first part of the thesis describes the main characteristics of Big Data and the processing and storage of such data. She formulated four hypotheses, which she ultimately confirmed, partially confirmed or refuted. In the hypotheses, she questioned whether the two music providers are comparable and determined the number of main characteristics of Big Data, where she encountered different solutions, compared them and reached a conclusion.
Problem
The author researched streaming music content (Spotify and YouTube Music) and Big Data, as well as the connection between them. The first part of the thesis describes the main characteristics of Big Data and the processing and storage of such data. Since big data is divided into structured and unstructured data, she explains why and how each type is stored, and which storage systems are known.
The processing system is explained, along with a detailed description of individual processing phases. For easier understanding, she drew a diagram of the system. In the second part of the thesis, she focuses on the music providers, namely Spotify and YouTube Music.
The operation of these music providers, their functioning and priorities are described. Their similarities and differences are presented in a table. This is followed by research on how Spotify and YouTube Music use big data to develop personalised content for users with the aim of satisfying them in such a way that they remain or become long-term customers.
She establishes that the providers Spotify and YouTube Music obtain individual users' data, and then, based on this data, create new playlists according to their previous listening habits. She created a script that enables the export of a user's playlist from Spotify. Using this script, it can be transferred to another provider, for example Apple Music, which is very convenient.
Results
She formulated four hypotheses, which she ultimately confirmed, partially confirmed or refuted. In the hypotheses, she questioned whether the two music providers are comparable and determined the number of main characteristics of Big Data, where she encountered different solutions, compared them and reached a conclusion.
Module, programme and stories.
Your diploma project for a real company.
A diploma thesis at Academia solves a challenge from a company – often the one where you do your 800 hours of placement. Read about the Programsko inženirstvo module or book a consultation.