Explore the complete data modeling process step by step—from requirements gathering to physical implementation. Learn how to build efficient, scalable, and accurate databases.
Understand the core components of the relational model in DBMS - relations, tuples, and attributes. Learn how data is structured in tables and why these elements matter in databases.
Learn what relationship attributes are in ER models, why they matter, and how to use them with clear examples like student enrollments and employee positions.
Learn Armstrong's Axioms (Reflexivity, Augmentation, and Transitivity) used to derive all functional dependencies in a relational database. See how these rules help with normalization using simple examples.