BCA-104N · Introduction to Database System
Unit 3
Relational Data Model, Constraints & Normalization
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Unit 3 Learning Hub
Relational Data Model, Constraints & Normalization
Official MJPRU BCA Unit 3: Relational Data Model, Constraints & Normalization for BCA-104N (Introduction to Database System).
Syllabus Topics:Relational Model Concepts: Relations, Tuples, Attributes, Cardinality, Degree & DomainRelational Integrity Constraints: Domain Constraints, Key Constraints, Entity Integrity ConstraintReferential Integrity Constraint & Foreign Keys (CASCADE, SET NULL, RESTRICT Actions)Functional Dependency (FD): Definition, Trivial vs Non-Trivial FDs, Armstrong's AxiomsClosure of Attribute Sets and Candidate Key DeterminationDatabase Anomalies: Insertion, Deletion, and Modification/Update AnomaliesNormalization: First Normal Form (1NF) - Elimination of Multi-Valued AttributesSecond Normal Form (2NF) - Elimination of Partial Functional DependenciesThird Normal Form (3NF) - Elimination of Transitive Dependencies
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Introduction to Computers & The IPO Cycle
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Topic 1 · The foundation of modern computing
Introduction to Computers & The IPO Cycle
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💡 The Big Picture:A computer is an electronic system that takes raw data as Input, processes it under programmed logic, and produces meaningful Information as Output.
🍪 Everyday Analogy:Think of baking cookies: Flour & Sugar (Input) ➔ The Oven (Processing) ➔ Warm Delicious Cookie (Output)! 🍪
Key Exam Takeaways
- ·Data = Raw, unprocessed facts without context (e.g. 42, 'apple').
- ·Information = Structured data with meaning (e.g. 'Temperature: 42°C').
- ·Hardware is what you can touch; Software is the instructions running inside.
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Which of the following represents unprocessed raw facts?
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