Database Design for Relational Databases - eLearning

Database Design for Relational Databases - eLearning

Design & Architecture of Relational Database Training — Build Robust Data Foundations

Take your database skills to the next level with this comprehensive Design & Architecture of Relational Database Training. In today’s data‑driven world, designing efficient and scalable relational databases is a core skill for software engineers, data professionals, and architects. This course teaches you how to think like a database designer — from core principles to real‑world implementation.

This immersive training equips you with the practical knowledge and hands‑on experience needed to design well‑structured relational databases that power modern applications. You’ll understand how to plan, model, and implement database systems that are efficient, maintainable, and aligned with industry best practices. Relational database skills form the backbone of many tech stacks used in enterprises around the world.

Key Features

• Course and material in English
• Beginner-Intermediate level
• 15+ hours of eLearning videos
• 10 Auto-Graded Assessments
• 26 Guided Hands-On Exercises
• 37 Recall Quizzes
• 3 Assignments
• 20+ hours recommended study time
• 1 Year access to the learning platform
• Program completion certification included

Learning Outcomes

• Plan, analyze, and design an effective software development lifecycle
• Understand the key components of database architecture
• Learn the importance of data integrity and strategies to maintain it
• Explore data redundancy and dependencies, and how to manage them
• Gain insights into Online Transaction Processing (OLTP) systems

Target Audience

• Aspiring Database Professionals – Individuals looking to start a career in database design, administration, or development.
• Software Developers & Engineers – Developers who want to strengthen their understanding of relational database architecture for building efficient applications.
• Data Engineers & Data Analysts – Professionals seeking to design structured, high-performing databases to support data workflows.
• IT Architects & System Designers – Those responsible for planning and implementing robust database systems within enterprises.
• Students & Career Switchers – Learners aiming to gain practical, industry-relevant skills in relational databases and data management.

Prerequisites

• A basic understanding of SQL and database concepts is recommended.
• Prior familiarity with SQL will enhance the learning experience.
• This course is designed to accommodate learners with varying levels of SQL knowledge

Course Content

1. Introduction to Relational Database

• Module Introduction
• Introduction to Database
• Hierarchical and Network DBMS
• NoSQL DBMS
• Object-oriented and Relational DBMS
• DBMS vs. RDBMS
• Open Source Vs. Licensed Databases
• Popular Relational Databases-Oracle
• Popular Relational Databases-Microsoft SQL
• Popular Relational Databases-MySQL
• Popular Relational Databases- PostgreSQL
• Introduction to Software Development Life Cycle (SDLC)
• Planning, Analysis, Design, Development, Testing and Integration
• Maintenance and Production Support

2. Architecture of Relational Database

• Database Architecture and Layers
• Database Architecture Tiers
• Database Architecture Tiers vs. Layers
• Database Architecture Components
• Centralized and Distributed Database Systems

3. Important Aspects of Relational Databases

• SQL Sublanguages
• SQL Library Example
• SQL Standardization
• Data Integrity
• Principles of Data Integrity
• How Data Integrity can be Compromised
• Importance of Data Integrity
• Improving data integrity
• Transaction
• ACID compliance
• BASE Model

4. Database Structure and Design

• Database Objects
• Data Integrity Rules and Constraints
• Entity Relationship

5. Database Design

• Database Design
• What is database normalization
• Data redundancy
• Data Dependencies
• Data Normalization Rules
• First Normal Form (1NF)
• Second Normal Form (2NF)
• Third Normal Form (3NF)
• Boyce-Codd Normal Form (BCNF)
• ER Diagram
• Entity
• Attributes
• ER Diagram Notations and Relationships
• Data Model
• Stages of Data Model
• Conceptual Data Model
• Logical Data Model
• Physical Data Model
• Data Modeling Tools

6. Data Modelling Methodologies

• Data Modeling Methodologies
• What Is Online Transaction Processing (Oltp)?
• Examples of Oltp
• Characteristics of Oltp
• Challenges of Oltp
• Oltp Data Model Example
• Introduction to Data Warehousing
• Data Warehouse Features
• Data Warehouse Stages
• Data Warehouse vs. Oltp Database
• What Is a Data Mart?
• Data Mart Example
• Fact and Dimension Tables
• Star and Snowflake Schema
• Data Warehouse Top-Down Design Approach
• Data Warehouse Bottom-up Design Approach
• What Is a Data Vault?
• Data Vault Example
• Data Vault Usage
• Data Lake
• Differences Between Databases, Data Lakes, and Data Warehouses

7. SQL Components

• Data Definition Language
• Data Manipulation Language
• Data Query Language
• Working with NULL
• Aggregating data using GROUP BY
• Filtering Aggregated data using HAVING clause
• Data Control Language

8. Transaction and Concurrency

• Transaction and Concurrency: An introduction
• Database Transactions
• COMMIT And ROLLBACK
• SAVEPOINT
• Transaction Concurrency Problems
• Transaction Isolation Levels
• Deadlock

9. Database Joins and Performance Tuning

• SQL Joins
• Subquery and its types
• Database Performance Tuning
• Database Monitoring
• Information Schema

10. Database Backup, Recovery, and Security

• Database Backup, Recovery, and Security
• Database Backups
• Logical Backup
• Physical Backup
• Types of Backups
• Restore and Recover
• Database Security
• Database Security – Best Practices

11. On-Prem vs Cloud Databases

• On-premises vs. Cloud Databases
• On-premises and Cloud Databases
• Cloud Database Deployment Models
• Differences between On-premises and Cloud Databases

FAQ

Will there be any learning material beyond self-paced videos?

Absolutely! The on-demand learning experience goes beyond videos to provide a fully immersive learning environment, including:

• LEARN: Interactive eBooks, recall quizzes, and real-world case studies to reinforce concepts
• ASSESS: Diagnostic, module-level, and final assessments to track your progress
• PRACTICE: Hands-on exercises with real-world simulations and Cloud Labs
• GAIN INSIGHTS: Real-time analytics and reports highlighting your learning progress, challenges, and suggested areas to revisit for mastering key skills

Can I pursue this course alongside my full-time job?

Yes! This course is designed for maximum flexibility. Delivered in a self-paced online format, it allows you to learn and upskill at your own convenience, making it easy to balance with your full-time job.