Develop a Logical Data Model for the Music Data in the form of an Entity Relationship Diagram (ERD) - IT/Computer Science Assignment Help

Assignment Task:

Task:

Task 1 — Logical Data Model (ERD) 
Develop a logical data model for the music data in the form of an entity-relationship diagram (ERD). This should detail the cardinality of relationships, attributes of each entity, be normalised to 3NF and keys for each entity should be defined with the type of key appropriately identified. 
Document this in your report. 
Task 2 — Physical Data Model (ERD) 
Develop your logical design into a more detailed ERD in the form of a physical data model. This should include appropriately named tables and columns, indicating types and constraints. Keys for each table should be defined with the type of key appropriately identified. 
Document this in your report. 
Task 3 — Database Implementation 
Create and run a set of SQL statements to turn the physical design into an actual database. This should consist of several CREATE TABLE statements that accurately reflect the physical data model, including data types, constraints, and keys. 
Document these in your report and run the statements on your Student Server SQL installation to create an empty copy of the database. 
THEN: 
Create and run a set of SQL SELECT queries to export appropriate data-sets from the raw data for migration into your planned new structure. Use these queries along with appropriate import functions in an SQL administration tool (e.g. phpMyAdmin, MySQL Workbench), or another appropriate method, to populate your empty database on the Student Server. 
Document this process in your report explaining, under each query, its function in plain English. 
Record and analyse any challenges you encounter in transposing the data and what steps you have taken to resolve them. 
Task 4 — Example queries 
To demonstrate that your final database is useful, write a minimum of five realistic sample SQL queries (use your imagination and the notes from the scenario to come up with sensible suggestions). 
They should include the following techniques: 
• SELECT...FROM...WHERE... • Joins (using two or more tables) • Ordering output (ORDER BY) 
 

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