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Database System Design, Implementation and Management

1. Introduction

In the era of data-driven decision-making, database systems form the backbone of organizational information management. Effective database design, implementation, and management are critical for ensuring data integrity, security, accessibility and scalability.

The Database System Design, Implementation and Management Course equips participants with the practical skills and theoretical knowledge required to design robust database systems, implement them efficiently, and manage them for optimal performance. The course covers conceptual, logical, and physical database design, SQL programming, database administration, security, and performance optimization, preparing participants to handle both traditional relational databases and modern data management environments.

 

2. Course Objectives

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

  • Understand database concepts, models, and architectures.
  • Design relational and non-relational database systems.
  • Implement databases using industry-standard tools and SQL.
  • Manage database performance, integrity, and security.
  • Conduct backup, recovery, and disaster recovery planning.
  • Apply best practices in database administration and maintenance.
  • Optimize database queries for efficiency and reliability.
  • Lead database projects and ensure alignment with organizational needs.

 

3. Targeted Group

This course is designed for:

  • Database Administrators (DBAs)
  • IT Managers and System Analysts
  • Software Developers and Programmers
  • Data Engineers and Business Intelligence Analysts
  • IT Project Managers
  • Senior IT Professionals and Technical Leads
  • Students or professionals aspiring for database and data management careers

 

4. Course Duration

Total Duration: 4 weeks (96 contact hours)
Delivery Options:

  • Instructor-led classroom sessions
  • Online interactive workshops with live database demonstrations
  • Hands-on labs and project-based learning

 

5. Training Methodology

  • Lectures and multimedia presentations covering core database concepts.
  • Hands-on exercises using SQL, Oracle, MySQL, PostgreSQL, or Microsoft SQL Server.
  • Case studies demonstrating real-world database design and implementation challenges.
  • Group projects and collaborative learning on database modeling and administration.
  • Simulations and practical labs for database performance tuning and recovery.
  • Capstone project designing and implementing a fully functional database system.

 

6. Course Content

Module 1: Introduction to Database Systems

  • Fundamentals of data and databases
  • Types of databases: relational, NoSQL, and distributed systems
  • Database management system (DBMS) overview

Module 2: Database System Architecture

  • Three-tier architecture: conceptual, logical, physical
  • Client-server and cloud database models
  • Database system components and functionalities

Module 3: Data Modeling and Entity-Relationship (ER) Design

  • Conceptual data modeling
  • Entities, attributes, relationships, and ER diagrams
  • Translating ER diagrams into relational schemas

Module 4: Relational Database Design

  • Principles of normalization (1NF, 2NF, 3NF, BCNF)
  • Designing efficient tables and keys
  • Avoiding redundancy and ensuring data integrity

Module 5: Structured Query Language (SQL) – Part I

  • SQL fundamentals: SELECT, INSERT, UPDATE, DELETE
  • Querying single and multiple tables
  • Using functions, joins, and subqueries

Module 6: Structured Query Language (SQL) – Part II

  • Advanced SQL: stored procedures, triggers, and views
  • Indexing and optimization techniques
  • Transaction management and concurrency

Module 7: Database Implementation Techniques

  • Database creation and configuration
  • Data import/export procedures
  • Implementing relational and non-relational databases

Module 8: Database Security and Access Control

  • Authentication, authorization, and role management
  • Data encryption and security best practices
  • Compliance with data protection regulations

Module 9: Database Backup and Recovery

  • Backup strategies: full, incremental, and differential
  • Recovery procedures and disaster recovery planning
  • Ensuring high availability and fault tolerance

Module 10: Database Performance Tuning

  • Query optimization and indexing strategies
  • Monitoring performance metrics
  • Troubleshooting slow queries and system bottlenecks

Module 11: Data Warehousing and Business Intelligence

  • Fundamentals of data warehousing
  • ETL (Extract, Transform, Load) processes
  • Using databases for business analytics and reporting

Module 12: NoSQL and Big Data Databases

  • Key-value, document, column-family, and graph databases
  • When and how to use NoSQL databases
  • Integration with big data technologies

Module 13: Cloud Database Solutions

  • Cloud database platforms: AWS RDS, Azure SQL, Google Cloud SQL
  • Benefits, challenges, and migration strategies
  • Managing cloud-based database services

Module 14: Database Administration Best Practices

  • Routine maintenance and monitoring
  • User management and auditing
  • Capacity planning and scalability considerations

Module 15: Emerging Trends in Database Technology

  • AI-driven database management
  • Blockchain and distributed ledger databases
  • Automation in database administration

Module 16: Capstone Project – Design, Implement and Manage a Complete Database System

  • Requirements gathering and analysis
  • Design, implementation, and testing of a functional database
  • Documentation and presentation of database system solutions

 

7. Expected Outcomes

Upon successful completion, participants will be able to:

  • Design and implement efficient, secure, and scalable database systems.
  • Administer relational and non-relational databases effectively.
  • Optimize database performance and ensure data integrity.
  • Implement database security, backup, and recovery strategies.
  • Utilize modern database technologies including cloud and big data solutions.
  • Apply best practices in database administration and project management.
  • Lead IT teams and database projects with professional competence.
  • Produce comprehensive documentation and reports for database systems.

 

8. Certificate of Completion

Participants who successfully complete all modules, practical exercises, and the capstone project will receive:

🎓 Certificate of Completion – Database System Design, Implementation and Management
Issued by: FOTADE Training, Research and Resource Development Centre

This certificate validates the holder’s competence in designing, implementing, managing, and optimizing database systems, qualifying them for professional roles as Database Administrators, Data Managers, IT Specialists and Systems Analysts.

PRICE

$ 5,299.99

DURATION

4 Weeks

09:00am - 14:00pm

NEXT DATE

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