Learn the three levels of data modeling—conceptual, logical, and physical. Understand how each stage contributes to building efficient and organized databases.
Explore the complete data modeling process step by step—from requirements gathering to physical implementation. Learn how to build efficient, scalable, and accurate databases.
Discover the top 10 best practices in data modeling to create efficient, scalable, and maintainable databases. Learn how to avoid common pitfalls and improve performance.
Learn what functional dependency is in DBMS with simple examples. Understand how it works, why it's important, and how it helps reduce redundancy and improve data consistency in relational databases.
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.