Learn the core concepts of databases and data management systems.

• What are databases?
• DBMS vs Database
• Data vs Information
• Database models
• ACID properties
• CAP theorem
• Database design principles
• Data integrity

Master relational database theory, normalization, and design principles.

• Relational model
• Tables, rows, and columns
• Primary and foreign keys
• Entity-Relationship diagrams
• Normalization (1NF, 2NF, 3NF)
• Denormalization strategies
• Referential integrity
• Database constraints

Learn SQL syntax, basic queries, and data manipulation operations.

• SQL syntax and structure
• SELECT statements
• WHERE clauses and filtering
• INSERT, UPDATE, DELETE
• Data types
• Sorting and grouping
• NULL handling
• Basic functions

Master complex queries, joins, subqueries, and advanced SQL features.

• JOIN operations (INNER, LEFT, RIGHT, FULL)
• Subqueries and CTEs
• Window functions
• Aggregate functions
• CASE statements
• Stored procedures
• Triggers
• Views and materialized views

Design efficient database schemas and model complex data relationships.

• Conceptual data modeling
• Logical database design
• Physical database design
• Schema design patterns
• Relationship modeling
• Business rules implementation
• Data warehouse design
• Design documentation

Optimize database performance through indexing, query tuning, and monitoring.

• Database indexing strategies
• Query execution plans
• Query optimization techniques
• Performance monitoring
• Database profiling
• Partitioning strategies
• Caching mechanisms
• Connection pooling

Understand NoSQL database types, use cases, and design principles.

• NoSQL database types
• Document databases
• Key-value stores
• Column-family databases
• Graph databases
• BASE properties
• Eventual consistency
• NoSQL vs SQL comparison

Master MongoDB document database operations, aggregation, and modeling.

• MongoDB architecture
• Documents and collections
• CRUD operations
• Query operators
• Aggregation framework
• Indexing in MongoDB
• Schema design patterns
• Replication and sharding

Understand transaction management, isolation levels, and concurrency control.

• Transaction concepts
• ACID properties explained
• Isolation levels
• Concurrency control
• Locking mechanisms
• Deadlock handling
• Distributed transactions
• Two-phase commit

Implement database security, access control, and data protection strategies.

• Database authentication
• User management
• Role-based access control
• SQL injection prevention
• Data encryption
• Backup security
• Audit logging
• Compliance requirements

Manage database migrations, versioning, and maintenance operations.

• Schema migration strategies
• Database versioning
• Data migration techniques
• Backup and recovery
• Database maintenance
• Performance monitoring
• Disaster recovery planning
• High availability setup

Explore modern database patterns, microservices, and cloud databases.

• Microservices data patterns
• Database per service
• Event sourcing
• CQRS pattern
• Cloud databases
• Serverless databases
• Database scaling strategies
• Multi-database architectures