Unit 4: Database Systems and Management

1. Introduction to Database Systems

• Definition and purpose of a database system
• Components of a database system: DBMS, database, users
• Types of databases
  • Relational databases
  • NoSQL databases (document, key-value, column-family, graph)
  • NewSQL and others
• Importance of database management in modern organizations
• Real-world applications and use cases

2. Relational Database Design

• Fundamentals of relational databases
• Entity-Relationship (ER) Modeling
  • Entities, attributes, relationships
  • ER diagrams and notation
• Normalization
  • Purpose and benefits
  • Normal forms: 1NF, 2NF, 3NF, BCNF
• Data integrity constraints
  • Primary keys, foreign keys, unique constraints
• Schema refinement and optimization

3. SQL Fundamentals

• Introduction to SQL and its role
• Data Querying
  • SELECT statements
  • Filtering and sorting data (WHERE, ORDER BY)
• Data Manipulation
  • INSERT, UPDATE, DELETE
• Joining Tables
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
• Creating and managing views
• Aggregate functions and grouping

4. Database Management Systems (DBMS)

• Overview of popular DBMS platforms
  • MySQL
  • Oracle Database
  • Microsoft SQL Server
  • PostgreSQL
• Key features and functionalities of each
• Use cases and industry applications
• Client-server architecture and tools

5. Data Modeling and Implementation

• Data modeling levels
  • Conceptual data models
  • Logical data models
  • Physical data models
• Translating ER diagrams into relational schemas
• Implementation considerations
  • Data types
  • Indexing strategies
  • Storage and access methods

6. Data Normalization and Optimization

• Importance of normalization to reduce redundancy
• Common anomalies and how normalization resolves them
• Denormalization: when and why
• Optimization techniques
  • Indexing
  • Query optimization
  • Caching

7. Indexing and Query Optimization

• Index types and structures
  • B-tree, Hash indexes
• Creating and managing indexes
• Query execution plans
• Strategies for query optimization
• Performance tuning in DBMS

8. Transactions and Concurrency Control

• Definition and properties of transactions (ACID)
• Isolation levels and their impact
• Concurrency control mechanisms
  • Locking protocols
  • Timestamp ordering
  • Multiversion concurrency control (MVCC)
• Deadlock detection and resolution

9. Database Security and Backup Strategies

• Security challenges in databases
• User authentication and authorization
• Encryption techniques
• Backup strategies
  • Full, incremental, differential backups
  • Disaster recovery planning

10. Big Data and NoSQL Databases

• Introduction to Big Data concepts
• Limitations of traditional relational databases with big data
• NoSQL databases overview
  • MongoDB (document store)
  • Cassandra (wide-column store)
  • Hadoop ecosystem
• Use cases and advantages of NoSQL
• Integration of NoSQL with existing systems