Database design using ER modelling & Normalization technique

Define an entity as the stored identity and its attributes, and explain how relationships connect entities, with examples from hockey tournaments and library borrowings.

Explore cardinality of relationships in database design, including one-to-one, one-to-many, many-to-one, and many-to-many, with practical ER modelling examples like students, books, chairs, and instructors.

Explore er diagram notations, including Indian notation, and learn how entities, attributes (key, multi-valued, derived), weak entities, and recursive and one-to-many relationships define database design.

Identify entities and the database purpose, define relationships and cardinalities, and specify key and relevant attributes. Draw a complete ER diagram and review the model before implementing the database.

Create a banking database model using er modelling, defining entities such as bank, branch, account, loan, and customer, with key attributes and one-to-many, many-to-many relationships, including a weak branch entity.

Transform the model into a physical database design by creating base tables for entities and relationship tables for many-to-many associations, mapping keys and attributes to columns.

Identify entities such as department, course, instructor, and student, then map one-to-many and many-to-many relationships in ER modelling to transform a university data model into a physical database design.

Apply ER modelling and normalization to identify key attributes, entities, and relationships, defining key attributes such as department name and course codes to design efficient database schemas.

Learn how normalization refines entities and attributes into properly designed tables, enabling end users to insert, delete, and update data while reducing duplicates in your database.

Learn how anomalies arise in a single table and how normalization refines data into multiple tables to prevent insertion, update, and delete anomalies while reducing duplicate data.

Explore determinant and functional dependencies, including fully functional, partial, and transitive dependencies, and distinguish key from non-key attributes in normalization.

Learn to refine a student table through normalization, from first to second normal form, by removing partial and transitive dependencies and applying functional dependencies for efficient database design.