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

data analyst vs cyber security

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