SQL DBMS

Module 1: Introduction to Databases and SQL (6 hours)

• Database Concepts:
  • Relational databases and terminology
  • Data types and constraints
  • Database normalization
  • ER Diagrams and data modeling
• SQL Fundamentals:
  • Introduction to SQL language
  • DDL (Data Definition Language): CREATE, DROP, ALTER
  • DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE
  • Basic SQL queries and operators

Module 2: Advanced SQL Techniques (8 hours)

• Complex Queries:
  • JOIN operations: INNER, OUTER, LEFT, RIGHT
  • Subqueries and correlated subqueries
  • Aggregate functions: COUNT, SUM, AVG, MIN, MAX
  • Group BY and HAVING clauses
  • Window functions: ROW_NUMBER, RANK, PERCENTILE
• Data Manipulation and Transactions:
  • Update and delete statements with WHERE conditions
  • Transactions and ACID properties
  • Triggers and stored procedures

Module 3: Database Optimization and Security (8 hours)

• Database Performance Tuning:
  • Indexes and their types
  • Explain plans and query optimization techniques
  • Denormalization and data partitioning
  • Database tuning and monitoring tools
• Database Security:
  • User authentication and authorization
  • Access control and permissions
  • Data encryption and security best practices
  • Auditing and logging

Module 4: Introduction to NoSQL Databases (4 hours)

• NoSQL vs. SQL databases:
  • Key-value databases
  • Document databases
  • Graph databases
• Use cases for NoSQL databases:
  • Big data and high-performance applications
  • Unstructured data and scalability
  • Real-time applications and flexible data models
• Hands-on experience with popular NoSQL databases:
  • MongoDB
  • Cassandra
  • DynamoDB

Module 5: Project and Hands-on Labs (4 hours)

• Practical exercises and real-world scenarios:
  • Building a database schema
  • Writing complex SQL queries
  • Implementing database security measures
  • Migrating between SQL and NoSQL databases
• Project presentation and discussion:
  • Applying learned concepts to a specific problem
  • Demonstrating SQL skills and database design principles

Bonus Module: Database Administration (Optional) (2 hours)

• Database backup and recovery:
  • Strategies for disaster recovery
  • Backup and restore procedures
  • High availability and failover configurations
• Database maintenance and tuning:
  • Performance monitoring and optimization
  • User management and access control
  • Troubleshooting and problem-solving

Additional Resources:

• SQL tutorials and online courses
• Books on SQL and database design
• Official documentation for specific database engines
• Online forums and communities for SQL and database professionals
• SQL practice platforms and exercises

Note:

• This is a suggested TOC and can be adjusted based on the specific needs and experience level of the corporate client.
• Additional modules or topics can be included based on specific requirements.
• Hands-on labs and projects are crucial for practical learning and should be incorporated throughout the training.
• The bonus module on database administration is optional and can be added depending on the client’s interest and needs.