Database Management Systems

Master the design, implementation, and management of SQL and NoSQL databases for modern applications.

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Course Overview

This comprehensive database management course covers both relational (SQL) and non-relational (NoSQL) database systems. You'll learn database design principles, query optimization, data modeling, and administration techniques. By the end of this course, you'll have the skills to design efficient database schemas, write complex queries, and manage database systems in production environments.

SQL Databases

Master relational database concepts and SQL query language.

NoSQL Systems

Learn document, key-value, column-family, and graph databases.

Database Security

Implement security best practices for database systems.

Performance Tuning

Optimize database performance and query execution.

Duration

10 weeks, 5 hours/week

Skill Level

Intermediate

Prerequisites

Basic programming knowledge

Curriculum

Module 1: Introduction to Database Systems

  • Database concepts and terminology
  • Types of database management systems
  • Database architecture
  • ACID properties and transactions

Module 2: Relational Database Design

  • Entity-Relationship (ER) modeling
  • Normalization and denormalization
  • Database schema design
  • Constraints and integrity rules

Module 3: SQL Fundamentals

  • SQL syntax and data types
  • DDL (CREATE, ALTER, DROP)
  • DML (SELECT, INSERT, UPDATE, DELETE)
  • Filtering, sorting, and grouping data

Module 4: Advanced SQL

  • Joins and subqueries
  • Window functions
  • Common Table Expressions (CTEs)
  • Stored procedures and functions

Module 5: PostgreSQL

  • PostgreSQL architecture
  • Advanced PostgreSQL features
  • JSON and JSONB data types
  • PostgreSQL administration

Module 6: MySQL

  • MySQL architecture
  • InnoDB and MyISAM storage engines
  • MySQL performance optimization
  • MySQL administration

Module 7: NoSQL Databases

  • NoSQL database types and use cases
  • CAP theorem and distributed databases
  • Data modeling for NoSQL
  • Choosing between SQL and NoSQL

Module 8: MongoDB

  • MongoDB architecture
  • CRUD operations in MongoDB
  • Aggregation framework
  • Indexing and performance optimization

Module 9: Redis and Key-Value Stores

  • Redis data structures
  • Caching strategies
  • Pub/Sub messaging
  • Redis persistence and clustering

Module 10: Database Security

  • Authentication and authorization
  • SQL injection prevention
  • Data encryption
  • Auditing and compliance

Module 11: Database Performance

  • Query optimization techniques
  • Indexing strategies
  • Execution plans and query analysis
  • Database monitoring and tuning

Module 12: Final Project

  • Design and implement a database system for a real-world scenario
  • Optimize for performance and security
  • Implement both SQL and NoSQL components
  • Documentation and presentation

Your Instructors

Instructor

Robert Chen

Database Architect

Robert has over 12 years of experience as a database architect and has worked with Fortune 500 companies to design and optimize their database systems. He specializes in PostgreSQL and MongoDB.

Instructor

Aisha Johnson

Data Engineer

Aisha is a data engineer with expertise in both SQL and NoSQL databases. She has implemented large-scale data solutions and has a background in performance optimization and database security.

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