Unit 861: Comprehensive Database Systems

1. Introduction to Databases

• Definition and purpose of databases
• Importance in modern computing and real-world applications
• Basic concepts:
  • Data models (hierarchical, network, relational, object-oriented)
  • Schemas and instances
  • Relationships: one-to-one, one-to-many, many-to-many

2. Data Modeling

• Role and objectives of data modeling
• Entity-Relationship (ER) diagrams:
  • Entities, attributes, and relationships
  • Cardinality and participation constraints
• Database schema design
• Normalization techniques overview:
  • Purpose of normalization
  • Normal forms (1NF, 2NF, 3NF)

3. Database Management Systems (DBMS)

• Types of DBMS:
  • Hierarchical, Network, Relational, Object-oriented
• Core features:
  • Data storage and retrieval
  • Transaction management
  • Concurrency control
  • Recovery management
• Role of DBMS in database lifecycle

4. Structured Query Language (SQL)

• Introduction to SQL as the standard database language
• Data Definition Language (DDL):
  • CREATE, ALTER, DROP statements
• Data Manipulation Language (DML):
  • SELECT, INSERT, UPDATE, DELETE statements
• Querying databases:
  • Filtering, sorting, joining tables
• Creating and managing database objects

5. Normalization

• Detailed exploration of normalization
• Goals: reducing redundancy, improving data integrity
• Normal forms in depth:
  • First Normal Form (1NF)
  • Second Normal Form (2NF)
  • Third Normal Form (3NF)
  • Boyce-Codd Normal Form (BCNF)
• Denormalization: when and why

6. Indexing and Performance Tuning

• Importance of indexing in databases
• Types of indexes:
  • B-Tree, Hash, Bitmap indexes
• Query optimization techniques
• Database performance tuning strategies
• Monitoring and analyzing query performance

7. Database Security

• Principles of database security
• Access control:
  • Authorization and authentication methods
• Encryption techniques for data protection
• Common security threats and mitigation
• Best practices for securing databases

8. Data Warehousing and Business Intelligence

• Concepts of data warehousing
• Data mining techniques
• Business intelligence tools and their role
• Extract, Transform, Load (ETL) processes
• Case studies of data analysis from large datasets

9. Database Backup and Recovery

• Importance of backup and recovery
• Backup strategies:
  • Full, incremental, differential backups
• Recovery techniques and disaster recovery planning
• Ensuring data durability and minimizing downtime

10. Advanced Database Concepts

• Distributed databases:
  • Architecture and challenges
• Cloud databases and their benefits
• Introduction to NoSQL databases:
  • Types: document, key-value, column-family, graph
• Big data technologies and their integration with databases
• Emerging trends and future of database systems