Course Outline

? Day 1: MySQL Fundamentals & Web Application Integration

Session 1: MySQL Architecture & Setup

• Overview of MySQL architecture
• Installing and configuring MySQL server
• Connecting MySQL with web applications (PHP, Node.js, Python)

Session 2: Database Design and SQL Essentials

• Creating databases, tables, and data types
• Writing basic and advanced SELECT queries
• Using JOINs, subqueries, and set operations

Session 3: Stored Procedures, Triggers & Views

• Writing and using stored procedures and functions
• Creating triggers for data integrity
• Implementing views for abstraction and security

Lab Activities:

• Design and implement a sample database for a web app
• Write SQL queries for data retrieval and manipulation
• Create stored procedures and triggers in MySQL

? Day 2: Security, Backup, and Transactions

Session 1: MySQL Security Best Practices

• User management and roles
• Granting privileges and access controls
• Securing connections and data encryption

Session 2: Backup and Recovery

• Logical and physical backups (mysqldump, MySQL Enterprise Backup)
• Point-in-time recovery and replication basics
• Setting up scheduled backups and restores

Session 3: Transactions and Concurrency Control

• ACID properties and transaction isolation levels
• Using transactions with COMMIT and ROLLBACK
• Locking mechanisms and deadlock handling

Lab Activities:

• Implement role-based access controls
• Configure automated backup jobs and test recovery
• Write transactional SQL scripts with error handling

? Day 3: Performance Tuning & Enterprise Features

Session 1: Query Optimization and Indexing

• Understanding query execution plans (EXPLAIN)
• Index types and choosing the right indexes
• Optimizing slow queries and schema design

Session 2: Replication, Clustering, and High Availability

• Setting up MySQL replication (master-slave, master-master)
• Overview of MySQL Cluster and Group Replication
• Load balancing and failover strategies

Session 3: Scaling MySQL for Enterprise

• Partitioning tables for performance
• Caching strategies (query cache, memcached)
• Monitoring MySQL performance metrics

Lab Activities:

• Analyze and optimize complex queries
• Configure basic replication setup
• Implement table partitioning and monitor performance