Music Streaming App Features

Database Design for Music Streaming App

This project aims to develop a relational database system for a music streaming platform to ensure that the music inventory is properly managed, playlists created and user interaction enabled. Below are the main key terms of the Music Streaming and Playlist Management are as follows:...

Music Streaming App Features

User Management: Enables user registration with unique credentials, robust authentication, and customizable profiles. Music Catalog Management: Offers extensive browsing of music artists, albums, genres, and tracks for immersive music exploration. Playlist Creation and Management: Allows users to create, edit, and share playlists with customizable privacy settings. Like and Favorite Tracking: Lets users express preferences by liking and favoriting tracks, enhancing personalized recommendations. Premium Features: Provides advanced functionalities like ad-free listening and exclusive content through subscription plans. Subscription Plans: Offers flexible subscription options with varying tiers and pricing to accommodate user preferences. Payment Processing: Facilitates secure payment transactions for subscription plans and products, ensuring user privacy and transparency....

Entities and Attributes for Music Streaming App

1. User: Stores information about registered users....

Relationships between These Entities

1. User-Playlist Relationship...

ER Diagram for Music Streaming App

ER Diagram...

Database Model for Music Streaming App

Database Model...

Entities Structures in SQL Format

CREATE TABLE User ( UserID INT PRIMARY KEY, Username VARCHAR(255), Email VARCHAR(255), Password VARCHAR(255));CREATE TABLE Artist ( ArtistID INT PRIMARY KEY, Name VARCHAR(255), Genre VARCHAR(255));CREATE TABLE Album ( AlbumID INT PRIMARY KEY, Title VARCHAR(255), ArtistID INT, Genre VARCHAR(255), ReleaseDate DATE, FOREIGN KEY (ArtistID) REFERENCES Artist(ArtistID));CREATE TABLE Track ( TrackID INT PRIMARY KEY, Title VARCHAR(255), ArtistID INT, AlbumID INT, Duration TIME, ReleaseDate DATE, FOREIGN KEY (ArtistID) REFERENCES Artist(ArtistID), FOREIGN KEY (AlbumID) REFERENCES Album(AlbumID));CREATE TABLE Playlist ( PlaylistID INT PRIMARY KEY, UserID INT, Title VARCHAR(255), CreationDate DATE, FOREIGN KEY (UserID) REFERENCES User(UserID));CREATE TABLE Like ( LikeID INT PRIMARY KEY, UserID INT, TrackID INT, FOREIGN KEY (UserID) REFERENCES User(UserID), FOREIGN KEY (TrackID) REFERENCES Track(TrackID));CREATE TABLE PremiumFeature ( Premium_Feature_ID INT PRIMARY KEY, Name VARCHAR(255));CREATE TABLE SubscriptionPlan ( Subscription_Plan_ID INT PRIMARY KEY, Name VARCHAR(255), Price DECIMAL(10,2), Description TEXT);CREATE TABLE Payment ( Payment_ID INT PRIMARY KEY, User_ID INT, Amount DECIMAL(10,2), Date DATE, Method VARCHAR(50), FOREIGN KEY (User_ID) REFERENCES User(UserID));...

Tips and Tricks for Database Design

Normalize the database: Normalize the database to avoid the redundancy and the dependency. Use appropriate data types: Choose proper data types for attributes to ensure optimal storage and assure data integrity. Index key fields: Indexing primary and foreign key fields can provide better performance with queries. Implement constraints: Apply constraints like NOT NULL, UNIQUE, and FOREIGN KEY to ensure data integrity. Consider scalability: Design the database with scalability in mind so as to be able to accommodate future growth and adjust to changes in requirements. Optimize queries: Write effective SQL queries and factor them out for better performance. Document the design: Make sure to document database design in details for better understanding and maintenance in the future. Security measures: Implement security measures such as user authentication and authorization to prevent unauthorized access into sensitive data....

Conclusion

Music streaming platforms provide users with an engaging and customized auditing experience while at the same time data and resource management is efficiently handled. The music streaming platform’s relational database system should be designed as a robust and efficient one because one has to consider different aspects like data organization, scalability, and performance. Formulating a relational database for music streaming and playlist management will require to capture the system requirements, ER modeling, crafting an appropriate schema, and optimizing for performance. Through such procedures and keeping in mind the implications of scalability and performance, developers can use all the requisite tools to build a resilient database that fulfills all the requirements of a user-friendly music streaming service....