Introduction:

Databases are central to the management of data in almost every organization today. Whether you’re developing a new application, maintaining legacy systems, or ensuring data quality, a well-designed and efficiently developed database can make all the difference. Poorly designed databases can lead to performance issues, data redundancy, and difficulty in scaling as the organization grows.

This course covers the key principles and techniques of database design and development, providing a structured approach to building databases that are easy to manage, optimize, and maintain. Through real-world scenarios and hands-on exercises, participants will gain the practical knowledge needed to design and implement databases that meet modern requirements for scalability, performance, and security.

Objectives:

By the end of this course, participants will be able to:

1. Understand Database Design Fundamentals: Learn the principles and methodologies for effective database design.
2. Master Data Modeling Techniques: Understand how to create accurate and efficient data models using Entity-Relationship Diagrams (ERDs).
3. Implement Normalization and Denormalization: Apply normalization techniques to minimize data redundancy and ensure data integrity.
4. Optimize Queries and Database Performance: Learn techniques for query optimization and indexing to enhance database performance.
5. Apply Security Best Practices: Understand how to secure databases by implementing user access controls, encryption, and backup strategies.
6. Develop Scalable Databases: Design databases that can scale to meet increasing demands and handle large amounts of data.

Who Should Attend?

This course is designed for professionals involved in the design, development, and maintenance of databases. It is ideal for individuals who want to deepen their knowledge of database development and enhance their database design skills.

Target Audience:

• Database Developers and Administrators
• Data Analysts and Engineers
• Application Developers and Architects
• IT Managers overseeing database management
• Professionals transitioning to a database-focused role

Training Agenda:

Day 1: Introduction to Database Design

• Morning Session:

  • What is Database Design? The Importance of Good Design in Database Development
  • Overview of Relational Database Management Systems (RDBMS)
  • Understanding Tables, Keys, and Relationships
  • Introduction to Data Modeling: Entity-Relationship Diagrams (ERD)
  • Types of Relationships: One-to-One, One-to-Many, Many-to-Many

• Afternoon Session:

  • Database Design Process: Requirements Analysis, Logical Design, Physical Design
  • Tools for Database Design (e.g., Microsoft Visio, Lucidchart, DBDesigner)
  • Hands-on Exercise: Creating an Entity-Relationship Diagram (ERD) for a Business Scenario

Day 2: Normalization and Data Integrity

• Morning Session:

  • The Need for Normalization: Reducing Redundancy and Ensuring Data Integrity
  • First, Second, and Third Normal Forms (1NF, 2NF, 3NF)
  • Boyce-Codd Normal Form (BCNF) and Higher Normal Forms
  • Practical Guide to Normalizing Data for Real-World Scenarios

• Afternoon Session:

  • Denormalization: When and Why It’s Needed for Performance
  • Understanding Data Integrity: Constraints, Keys, and Referential Integrity
  • Hands-on Exercise: Normalizing a Database Schema and Creating Relationships

Day 3: Database Implementation and SQL

• Morning Session:

  • Implementing the Logical Design: Creating Tables, Constraints, and Indexes
  • Introduction to Structured Query Language (SQL)
  • Basic SQL Operations: SELECT, INSERT, UPDATE, DELETE
  • Complex Queries: Joins, Subqueries, and Aggregations

• Afternoon Session:

  • Advanced SQL Techniques: Views, Stored Procedures, Triggers, and Functions
  • Introduction to Transactions and ACID Properties (Atomicity, Consistency, Isolation, Durability)
  • Hands-on Exercise: Writing SQL Queries for a Database and Implementing Transactions

Day 4: Database Optimization and Performance Tuning

• Morning Session:

  • Understanding Database Performance: Factors that Impact Speed and Efficiency
  • Indexing: Types of Indexes (Single Column, Composite, Full-Text) and When to Use Them
  • Query Optimization: Analyzing and Improving Query Performance

• Afternoon Session:

  • Caching and Database Partitioning for Large Databases
  • Database Scaling: Horizontal vs. Vertical Scaling
  • Hands-on Exercise: Analyzing and Optimizing SQL Queries for Performance

Day 5: Database Security, Backup, and Maintenance

• Morning Session:

  • Securing Databases: Authentication, Authorization, and Encryption
  • Data Backup and Recovery Strategies: Full, Incremental, and Differential Backups
  • Securing Data in Transit and at Rest: Using SSL/TLS and Encryption Techniques

• Afternoon Session:

  • Database Maintenance: Routine Tasks for Ensuring Database Health and Performance
  • High Availability and Disaster Recovery Planning
  • Future-Proofing Databases: Emerging Technologies and Trends
  • Hands-on Exercise: Implementing Security Best Practices and Data Backup Plans