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✅ Master Level
Data Models
Complete Beginner → Advanced Syllabus (Pin-to-Pin)
🟢 LEVEL 1 — Foundations
1. Introduction to Data Modeling
- What is a data model
- Purpose: represent data structure
- Conceptual, logical, physical models
- Data modeling lifecycle
- Stakeholders: Architects, DBAs, developers
2. Entity-Relationship Modeling
- Entities & attributes
- Relationships (1:1, 1:N, N:M)
- ER diagrams
- Key concepts
🟢 LEVEL 2 — Relational Database Design
3. Normalization
- First Normal Form (1NF)
- Second Normal Form (2NF)
- Third Normal Form (3NF)
- Boyce-Codd Normal Form (BCNF)
- Avoiding anomalies
4. Table Structure
- Table naming conventions
- Column definitions
- Data types selection
- Constraints (NOT NULL, UNIQUE, CHECK)
🟡 LEVEL 3 — Keys & Indexes
5. Key Design
- Primary keys
- Foreign keys
- Composite keys
- Natural vs surrogate keys
6. Indexing Strategy
- Single-column indexes
- Composite indexes
- Index selection criteria
- Performance implications
🟡 LEVEL 4 — Advanced Relationships
7. Complex Relationships
- Many-to-many with joint tables
- Self-referencing relationships
- Recursive relationships
- Circular dependencies handling
8. Temporal Data
- Audit tables
- Slowly changing dimensions
- Bitemporal models
- Versioning strategies
🟠 LEVEL 5 — NoSQL Data Modeling
9. Document Stores (MongoDB)
- Document structure
- Denormalization patterns
- Embedded vs referenced documents
- Schema flexibility
10. Key-Value Stores
- Simple key-value design
- Hash maps
- Sorted structures
🟠 LEVEL 6 — Performance Optimization
11. Denormalization Trade-offs
- Read optimization
- Write complexity
- Data redundancy
- Consistency implications
12. Aggregations & Pre-calculation
- Summary tables
- Materialized views
- Computed columns
- Cache strategies
🔵 LEVEL 7 — Constraints & Integrity
13. Data Integrity
- Primary key constraints
- Foreign key constraints
- Unique constraints
- Check constraints
- Referential integrity
14. Validation Rules
- Domain constraints
- Business logic constraints
- Trigger design
- Enforcement strategies
🔴 LEVEL 8 — Scalability & Sharding
15. Horizontal Scaling
- Sharding strategies
- Shard key selection
- Partition pruning
- Query routing
16. Replication Patterns
- Master-slave replication
- Multi-master replication
- Consistency models
- Conflict resolution
🔴 LEVEL 9 — Advanced Topics
17. Data Governance
- Data ownership
- Quality standards
- Metadata management
- Data lineage tracking
18. Migration & Evolution
- Schema migration
- Zero-downtime migrations
- Backward compatibility
- Rollback strategies
⭐ Senior Frontend Focus (Must Master)
- Frontend state model alignment
- API response structure design
- Pagination data model design
- Nested object handling in responses
- Optional field handling in UI
- Denormalization for frontend efficiency
- Timestamp & date handling across timezones