
Database Management
Module 1: Introduction to Database Management
– Introduction to Databases
– Definition and Purpose
– Types of Databases (Relational, NoSQL, etc.)
– Database Management Systems (DBMS)
– Components of a DBMS
– DBMS Architectures
– DBMS vs. File Systems
– Database Models and Languages
– Relational Model
– Hierarchical Model
– Network Model
– SQL Overview
Module 2: Relational Database Concepts
– Relational Database Theory
– Tables, Rows, and Columns
– Keys (Primary, Foreign, Unique)
– Referential Integrity
– Relational Algebra and Calculus
– Basic Operations (Selection, Projection, Joins)
– Relational Calculus
– SQL Basics
– Data Definition Language (DDL)
– Data Manipulation Language (DML)
– Data Control Language (DCL)
Module 3: Advanced SQL and Database Design
– Advanced SQL Queries
– Subqueries
– Views and Indexes
– Stored Procedures and Triggers
– Database Design
– Entity-Relationship (ER) Model
– ER Diagrams
– Normalization (1NF, 2NF, 3NF, BCNF)
– Denormalization
Module 4: Transaction Management and Concurrency Control
– Transactions
– ACID Properties (Atomicity, Consistency, Isolation, Durability)
– Transaction States and Logs
– Concurrency Control
– Locking Mechanisms
– Deadlock Prevention and Resolution
– Recovery Techniques
– Checkpoints
– Recovery Methods (Undo, Redo)
Module 5: Database Security and Integrity
– Database Security
– Authentication and Authorization
– Encryption and Data Masking
– Data Integrity
– Constraints (Entity, Domain, Referential)
– Integrity Constraints Implementation
Module 6: Indexing and Query Optimization
– Indexing
– Types of Indexes (B-Tree, Hash, Bitmap)
– Indexing Strategies
– Query Optimization
– Execution Plans
– Cost-Based Optimization
– Performance Tuning
Module 7: NoSQL and NewSQL Databases
– Introduction to NoSQL
– Types of NoSQL Databases (Document, Key-Value, Column-Family, Graph)
– Use Cases and Examples (MongoDB, Cassandra, Redis)
– Introduction to NewSQL
– Definition and Characteristics
– Examples (Google Spanner, CockroachDB)
Module 8: Database Administration and Maintenance
– Database Administration
– Backup and Recovery
– Monitoring and Performance Tuning
– Maintenance Tasks
– Routine Checks and Updates
– Capacity Planning and Scaling
Module 9: Data Warehousing and Big Data
– Data Warehousing Concepts
– Data Warehousing Architecture
– ETL Processes
– Big Data Technologies
– Overview of Big Data
– Hadoop and Spark
– Data Lakes vs. Data Warehouses
Module 10: Emerging Trends and Future Directions
– Cloud Databases
– Cloud Database Services (AWS RDS, Google Cloud SQL, Azure SQL)
– Database as a Service (DBaaS)
– Future Trends in Database Technology
– Artificial Intelligence and Databases
– Blockchain and Databases
Module 11: Case Studies and Practical Applications
– Real-World Database Applications
– Industry Case Studies
– Hands-On Projects
– Database Design and Implementation
– Performance Tuning and Optimization
Module 12: Review and Exam Preparation
– Review Key Concepts
– Practice Problems and Case Studies
– Exam Preparation Tips
