Mastering Relational Databases: From Design To Optimization

Design, Normalize, and Optimize Relational Databases: Master SQL, Data Modeling, and Performance Techniques

What you'll learn

Understand relational databases and their components, including tables, relationships, and keys, to manage structured data effectively.

Design conceptual, logical, and physical database schemas using a real-world retail inventory and sales management system.

Apply normalization techniques to eliminate redundancy and ensure database integrity and efficiency.

Create and modify database schemas, tables, and constraints using SQL in a relational database management system.

Ensure data consistency and integrity by implementing primary keys, foreign keys, and referential integrity constraints.

Optimize database performance using indexing, re-indexing, and gathering statistics for efficient query execution.

Use query optimization techniques to analyze execution plans and improve data retrieval for large datasets.

Secure sensitive data with authentication, authorization, and encryption to protect information in relational databases.

Partition and scale database designs to support growing and dynamic datasets in real-world applications.

Design and optimize an end-to-end database for a retail inventory and sales management system.

Requirements

No prior experience required: This course is beginner-friendly and designed to guide you step-by-step through relational database design.

Basic computer skills: Familiarity with using a computer, navigating files, and installing software is helpful but not mandatory.

Optional knowledge: Basic understanding of programming concepts or SQL can be helpful but is not required.

Description

Unlock the power of relational databases with "Mastering Relational Databases: From Design to Optimization"—a comprehensive course designed for beginners and professionals alike. This course takes you on an in-depth journey through the essentials of database design, using a practical, real-world retail inventory and sales management system as a case study.You will start by understanding the fundamentals of relational databases, including tables, relationships, and keys, and learn how data is stored and retrieved efficiently. From there, you will dive into conceptual, logical, and physical design phases, where you will learn to create scalable and structured schemas for real-world applications. Master the art of normalization to eliminate redundancy and ensure data integrity, while also discovering when and why to denormalize for performance.Through step-by-step lessons, you will use SQL to define, create, and modify databases, enforce constraints, and improve query performance with indexing and optimization techniques. You will also explore advanced topics like re-indexing, gathering statistics, and securing sensitive data with encryption.Whether you are an aspiring data professional, a developer, or a business owner, this course equips you with actionable skills to design and manage efficient relational databases. By the end, you will have the confidence to apply your knowledge to real-world challenges and build robust, optimized databases. Join now and transform the way you work with data!

Overview

Section 1: Welcome to the Course

Lecture 1 Meet the Trainer

Lecture 2 Course Objectives and Structure

Section 2: Fundamentals of Relational Databases

Lecture 3 What is a Relational Database?

Lecture 4 The Relational Model

Lecture 5 Keys and Relationships

Lecture 6 Referential Integrity & Working Example

Lecture 7 Supplemental Reading

Section 3: Data Modeling and Design Phases

Lecture 8 Conceptual Design

Lecture 9 Logical Design

Lecture 10 Physical Design

Lecture 11 Supplemental Reading

Section 4: Database Normalization

Lecture 12 Why Normalize Databases?

Lecture 13 Normal Forms Explained

Lecture 14 When to Denormalize

Lecture 15 Supplemental Reading

Section 5: Implementing Databases with SQL

Lecture 16 Data Definition Language (DDL)

Lecture 17 Constraints and Indexing

Lecture 18 Supplemental Reading

Section 6: Advanced Concepts and Practical Applications - How Data is Stored and Retrieved

Lecture 19 Data Storage Basics

Lecture 20 Data Retrieval

Lecture 21 Indexing Basics

Lecture 22 Best Practices

Lecture 23 Supplemental Reading

Section 7: Advanced Concepts and Practical Applications - Database Optimization Techniques

Lecture 24 Re-indexing Tables

Lecture 25 Gathering Statistics and Analyzing Tables

Lecture 26 Partitioning Data

Lecture 27 Putting It All Together

Lecture 28 Supplemental Reading

Section 8: Course Wrap-Up and Gratitude

Lecture 29 Next Steps

Lecture 30 Gratitude and Final Thoughts

Lecture 31 BONUS LECTURE

Aspiring Data Professionals: Beginners looking to start a career in database design or data management with no prior experience.,Entry-Level Developers: Programmers who want to understand relational database concepts and learn to design scalable, optimized schemas.,Data Analysts and Engineers: Professionals seeking to enhance their knowledge of database design, normalization, and optimization techniques.,IT and Business Professionals: Individuals involved in managing, designing, or improving database-driven applications.,Students and Academics: Learners studying computer science or related fields who need a practical understanding of relational databases.,Small Business Owners: Entrepreneurs wanting to manage their own data systems, like inventory or customer management, effectively.