Database Management Systems Training Course

Introduction

In today's data-driven world, organizations across all sectors, from finance and healthcare to agriculture and retail, rely heavily on efficient and reliable management of vast amounts of information. At the core of this data ecosystem lies the Database Management System (DBMS), a sophisticated software system that enables users to define, create, maintain, and control access to databases. Without a robust DBMS, managing and retrieving critical information becomes cumbersome, prone to errors, and highly inefficient, leading to poor decision-making, operational bottlenecks, and compromised data integrity. A well-designed and properly managed database ensures data consistency, security, and availability, empowering organizations to harness their data for strategic insights and seamless operations. Understanding how to design, implement, query, and administer a DBMS is therefore an essential skill for IT professionals, data analysts, developers, and anyone involved in information management. Ignoring the principles of effective database management can result in data loss, security breaches, performance issues, and a significant impediment to an organization's digital capabilities. Our intensive 5-day "Database Management Systems" training course is meticulously designed to equip IT professionals, aspiring database administrators, software developers, data analysts, and information managers with the essential knowledge and practical skills required to understand database concepts, design relational databases, write powerful SQL queries, and perform fundamental database administration tasks for efficient and secure data management.

This comprehensive program will delve into relational database theory, SQL query language, database design principles, data modeling, normalization, transaction management, data security, and basic database administration. Participants will gain hands-on experience with a popular relational database system (e.g., MySQL, PostgreSQL, SQL Server), learning how to create databases, write complex queries, design schemas, and perform essential maintenance operations. By the end of this course, you will be proficient in conceptualizing, designing, interacting with, and maintaining a database, enabling you to effectively manage organizational data and support data-driven initiatives.

Duration

5 Days

Target Audience

The "Database Management Systems" training course is crucial for a wide range of professionals involved in managing, developing, and analyzing data. This includes:

  • Aspiring Database Administrators (DBAs): Individuals looking to specialize in database management.
  • Software Developers: Needing to interact with databases for application development.
  • Data Analysts and Scientists: Requiring a strong understanding of data storage and retrieval.
  • IT Professionals: Seeking to enhance their skills in data management and infrastructure.
  • Information Managers: Responsible for overseeing an organization's data assets.
  • Business Intelligence (BI) Professionals: Working with data warehouses and reporting tools.
  • System Administrators: Managing servers that host database systems.
  • Project Managers: Overseeing projects that involve database components.
  • Anyone who regularly works with large datasets and needs to understand how they are structured and managed.
  • Students in Computer Science, Information Technology, or Data Management fields.

Course Objectives

Upon successful completion of the "Database Management Systems" training course, participants will be able to:

  • Understand the fundamental concepts of Database Management Systems (DBMS) and their importance.
  • Differentiate between various types of database models, with a focus on relational databases.
  • Design and normalize a relational database schema to ensure data integrity and efficiency.
  • Write complex SQL (Structured Query Language) queries to retrieve, insert, update, and delete data.
  • Comprehend transaction management, concurrency control, and data recovery principles.
  • Implement basic database security measures to protect sensitive information.
  • Perform essential database administration tasks such as backup, restore, and user management.
  • Apply best practices for database performance optimization and maintenance.

 Course Modules

Module 1: Introduction to Database Management Systems (DBMS)

  • What is a DBMS? Definition, purpose, and advantages over traditional file systems.
  • Role of a DBMS in modern applications and data-driven organizations.
  • Components of a DBMS architecture (users, applications, DBMS software, database).
  • Types of database models: Hierarchical, Network, Relational, Object-Oriented, NoSQL (overview).
  • Key concepts: Data, information, database, schema, instance.

Module 2: Relational Database Concepts

  • Foundations of the Relational Model: Tables (relations), rows (tuples), columns (attributes).
  • Keys: Primary Key, Foreign Key, Candidate Key, Super Key – their roles and importance.
  • Relationships between tables: One-to-one, one-to-many, many-to-many.
  • Integrity Constraints: Entity Integrity, Referential Integrity, Domain Integrity.
  • Introduction to Relational Algebra (conceptual overview).

Module 3: Database Design and Data Modeling

  • Phases of database design: Conceptual, Logical, Physical.
  • Introduction to Entity-Relationship (ER) Modeling: Entities, Attributes, Relationships.
  • Drawing ER Diagrams (ERDs) to represent real-world entities and their associations.
  • Translating ER Models into Relational Schemas.
  • Importance of data dictionary and metadata.

Module 4: Database Normalization

  • What is Normalization? Purpose and benefits (reducing redundancy, improving data integrity).
  • Understanding functional dependencies.
  • Normal Forms: 1NF, 2NF, 3NF, BCNF.
  • Steps for normalizing a database schema to a desired normal form.
  • Denormalization: When and why to deviate from strict normalization.

Module 5: Structured Query Language (SQL) Fundamentals

  • Introduction to SQL: Data Definition Language (DDL) and Data Manipulation Language (DML).
  • Creating, altering, and dropping tables (CREATE TABLE, ALTER TABLE, DROP TABLE).
  • Inserting, updating, and deleting data (INSERT, UPDATE, DELETE).
  • Retrieving data with SELECT statements: Basic queries, WHERE clause, ORDER BY, LIMIT/TOP.
  • Working with NULL values.

Module 6: Advanced SQL Queries and Operations

  • Filtering data with operators (AND, OR, NOT, IN, LIKE, BETWEEN).
  • Aggregate functions (COUNT, SUM, AVG, MIN, MAX) and GROUP BY clause.
  • Joining tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.
  • Subqueries: Nested queries and their applications.
  • Views, Stored Procedures, and Functions (conceptual overview and basic usage).

Module 7: Database Transactions and Concurrency Control

  • What is a Transaction? ACID properties (Atomicity, Consistency, Isolation, Durability).
  • Concurrency Control: Managing simultaneous access to data.
  • Common concurrency issues: Lost update, dirty read, unrepeatable read, phantom read.
  • Locking mechanisms: Shared locks, exclusive locks.
  • Transaction isolation levels.

Module 8: Database Security, Backup & Performance

  • Database security principles: Authentication, Authorization, Access Control.
  • User accounts, roles, and privileges.
  • Data encryption and data masking (overview).
  • Backup and Recovery strategies: Full, differential, incremental backups, disaster recovery planning.
  • Introduction to database performance tuning: Indexing, query optimization, hardware considerations.

 

  • CERTIFICATION
    • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

    • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

    • Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

 

Database Management Systems Training Course in Liechtenstein
Dates Fees Location Action
15/09/2025 - 27/09/2025 $1,500 Mombasa
Physical Class Online Class
22/09/2025 - 26/09/2025 $1,250 Nairobi
Physical Class Online Class
06/10/2025 - 10/10/2025 $1,500 Mombasa
Physical Class Online Class
13/10/2025 - 17/10/2025 $2,900 Kigali
Physical Class Online Class
20/10/2025 - 24/10/2025 $1,250 Nairobi
Physical Class Online Class
03/11/2025 - 07/11/2025 $1,500 Mombasa
Physical Class Online Class
17/11/2025 - 21/11/2025 $1,500 Mombasa
Physical Class Online Class
24/11/2025 - 28/11/2025 $1,250 Nairobi
Physical Class Online Class
01/12/2025 - 05/12/2025 $1,500 Mombasa
Physical Class Online Class
08/12/2025 - 12/12/2025 $1,250 Nairobi
Physical Class Online Class
05/01/2026 - 09/01/2026 $1,500 Mombasa
Physical Class Online Class
12/01/2026 - 16/01/2026 $2,900 Kigali
Physical Class Online Class
26/01/2026 - 30/01/2026 $1,250 Nairobi
Physical Class Online Class
02/02/2026 - 06/02/2026 $2,900 Kigali
Physical Class Online Class
16/02/2026 - 20/02/2026 $1,500 Mombasa
Physical Class Online Class
23/02/2026 - 27/02/2026 $1,500 Nairobi
Physical Class Online Class
02/03/2026 - 06/03/2026 $4,000 Johannesburg
Physical Class Online Class
16/03/2026 - 20/03/2026 $1,500 Mombasa
Physical Class Online Class
23/03/2026 - 27/03/2026 $1,500 Nairobi
Physical Class Online Class
06/04/2026 - 10/04/2026 $1,500 Mombasa
Physical Class Online Class
20/04/2026 - 24/04/2026 $1,250 Nairobi
Physical Class Online Class
04/05/2026 - 08/05/2026 $1,500 Mombasa
Physical Class Online Class
18/05/2026 - 22/05/2026 $4,000 Johannesburg
Physical Class Online Class
25/05/2026 - 29/05/2026 $1,250 Nairobi
Physical Class Online Class
01/06/2026 - 05/06/2026 $1,500 Mombasa
Physical Class Online Class