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Database · Relational data, SQL, and performance

MySQL

Learn MySQL database fundamentals, schema design, SQL queries, joins, constraints, indexes, transactions, views, stored procedures, security, optimization, and backup practices.

Move from SQL basics to a complete E-commerce Database project with customers, products, orders, payments, reporting queries, indexes, and documentation.

Beginner to Advanced 6 Weeks 10 Modules Online / Classroom E-commerce Database Project
Explore curriculum → View capstone project

Course overview

MySQL is a widely used relational database management system for storing, organizing, retrieving, and managing structured data. It is commonly used in web applications, business systems, reporting platforms, and backend services.

This course introduces MySQL fundamentals, database and table design, SQL syntax, data manipulation, relationships, constraints, joins, subqueries, indexes, transactions, views, stored routines, user management, query optimization, and backup practices.

The proposed capstone is an E-commerce Database project covering customers, products, orders, payments, reporting tables, indexes, business queries, and database documentation.

A good database design does more than store data. It enforces data integrity, supports business rules, enables efficient queries, and makes future changes easier to manage.

Prerequisites

This course is designed for learners with basic computer knowledge. Basic SQL knowledge is helpful but not required.

  • Basic computer knowledge.
  • Basic understanding of tables, rows, and columns.
  • Basic SQL knowledge is helpful.
  • Basic logical thinking and problem-solving skills.
  • MySQL Workbench or DBeaver is recommended.
  • Basic programming knowledge is helpful but not required.

Readiness activity

Explain the difference between a database, a table, a row, and a column. Identify two reasons why duplicate customer records can create problems in a business system.

Who can explore this course?

Beginners

Learn SQL and MySQL

Build foundational database and SQL skills from scratch.

Developers

Build backend skills

Learn how applications store, query, and manage relational data.

Data learners

Query business data

Retrieve, filter, join, and summarize data for reporting.

Career changers

Enter database roles

Develop practical skills for database and backend-development pathways.

What you will learn

  • Explain relational-database and MySQL fundamentals.
  • Install and connect to MySQL using common clients.
  • Create databases, tables, columns, and relationships.
  • Use primary keys, foreign keys, and constraints.
  • Write SELECT, INSERT, UPDATE, and DELETE queries.
  • Use filtering, sorting, grouping, and aggregation.
  • Write joins, subqueries, and common table expressions.
  • Create and use indexes appropriately.
  • Understand transactions, commit, rollback, and isolation.
  • Create views, stored procedures, functions, and triggers.
  • Manage MySQL users, roles, and privileges.
  • Analyze slow queries and apply optimization practices.
  • Plan backups, restores, and database maintenance.

Curriculum outline

The ten-module outline moves from MySQL fundamentals to a complete E-commerce Database. Exact MySQL version, client tools, and sample datasets should be confirmed before delivery.

01

MySQL fundamentals

Understand relational databases and set up a MySQL working environment.

  • Database and relational-model concepts.
  • MySQL and MySQL Server overview.
  • Installing and connecting to MySQL.
  • MySQL Workbench and DBeaver.
  • Databases, tables, rows, and columns.
  • MySQL data types.

Practice: Install or connect to MySQL, create a database, and inspect its tables and columns.

02

DDL and DML

Create database structures and manage data using SQL commands.

  • CREATE DATABASE and CREATE TABLE.
  • ALTER TABLE and DROP TABLE.
  • Data types and column definitions.
  • INSERT, UPDATE, and DELETE.
  • SELECT queries and aliases.
  • Safe data-modification practices.

Practice: Create a table, insert sample records, update one record, and delete a test record safely.

03

Querying data

Retrieve and analyze data using SQL filtering, sorting, and aggregation.

  • WHERE conditions and operators.
  • ORDER BY and LIMIT.
  • DISTINCT and NULL handling.
  • GROUP BY and HAVING.
  • Aggregate functions.
  • Pattern matching and string functions.

Practice: Write queries to filter, sort, group, and summarize a sample dataset.

04

Joins and advanced queries

Combine data from multiple tables and write more advanced SQL queries.

  • INNER JOIN.
  • LEFT JOIN and RIGHT JOIN.
  • Self joins and multiple-table joins.
  • Subqueries.
  • Common table expressions.
  • Set operations and query readability.

Practice: Write queries that join customers, orders, and products to answer business questions.

05

Constraints and relationships

Design reliable tables using keys, constraints, and referential integrity.

  • Primary keys and auto-increment.
  • Foreign keys and relationships.
  • NOT NULL and DEFAULT constraints.
  • UNIQUE constraints.
  • CHECK constraints.
  • Referential integrity and cascade actions.

Practice: Create related tables with primary and foreign keys, then test constraint behavior.

05

Indexes and query performance

Improve query performance using appropriate indexing strategies.

  • Index concepts and benefits.
  • Primary and secondary indexes.
  • Unique and composite indexes.
  • Index selection guidelines.
  • EXPLAIN and query plans.
  • Common performance mistakes.

Practice: Compare query performance before and after adding an appropriate index.

06

Transactions and data integrity

Understand how MySQL protects data during multi-step operations.

  • Transactions and ACID concepts.
  • START TRANSACTION, COMMIT, and ROLLBACK.
  • Savepoints.
  • Isolation levels.
  • Locking concepts.
  • Handling concurrent updates.

Practice: Create a transaction that transfers a value between two records and test rollback behavior.

07

Views and stored routines

Create reusable database objects for reporting and business logic.

  • Views and use cases.
  • Creating and modifying views.
  • Stored procedures.
  • Stored functions.
  • Triggers.
  • Maintainability and testing.

Practice: Create a reporting view and a stored procedure for a controlled business task.

07

Security and user management

Manage database access safely using users, privileges, and least-privilege practices.

  • MySQL user accounts.
  • Authentication and passwords.
  • GRANT and REVOKE privileges.
  • Roles and permission groups.
  • Least-privilege access.
  • SQL injection awareness.

Practice: Create a limited database user and grant only the privileges required for a defined task.

08

Backup, recovery, and optimization

Protect data and improve database performance using operational best practices.

  • Backup types and strategies.
  • Logical and physical backups.
  • Restore and recovery concepts.
  • Slow-query analysis.
  • Query optimization workflow.
  • Database maintenance practices.

Practice: Create a backup of a sample database, restore it into a test database, and document the process.

09

Capstone delivery

Complete the E-commerce Database project and prepare a professional demonstration.

  • Define business requirements and entities.
  • Design normalized tables and relationships.
  • Create constraints, indexes, and views.
  • Write business and reporting queries.
  • Test transactions and data integrity.
  • Document schema, queries, and maintenance steps.
  • Present the database design and results.

Practice: Submit a complete E-commerce Database with SQL scripts, sample data, documentation, and reporting queries.

Practical exercise ideas

Complete these smaller activities before assembling the final E-commerce Database project.

SQL

Customer queries

Filter, sort, and summarize customer records using SQL.

Joins

Order reports

Join customers, orders, and products to create business reports.

Design

Library database

Design books, members, loans, and return records with relationships.

Indexes

Query tuning

Analyze a slow query and apply an appropriate index.

Transactions

Payment workflow

Model a payment process using transactions and rollback logic.

Security

Limited user

Create a database user with only the required privileges.

Suggested six-week learning plan

This is an illustrative learning sequence. Confirm the academy's official timetable, MySQL version, client tools, datasets, and assessment requirements before publishing.

Weekly focus and practical milestones
Week Focus Suggested milestone
01 MySQL fundamentals and SQL basics Create a database, table, and basic queries.
02 DDL, DML, and querying Insert, update, filter, sort, and aggregate data.
03 Joins, relationships, and constraints Design related tables and write multi-table queries.
04 Indexes and transactions Improve a query using an index and test a transaction.
05 Views, routines, security, and backups Create a view, manage privileges, and restore a backup.
06 Capstone presentation Submit and present the E-commerce Database.
Design a production-style relational database

Capstone project

E-commerce Database

Design and build an E-commerce Database for a controlled, approved business scenario. The database should support customers, products, product categories, orders, order items, payments, and reporting.

Core project requirements

  • Define the business requirements and main entities.
  • Create an entity-relationship diagram or schema design.
  • Create normalized tables for customers, products, categories, orders, order items, and payments.
  • Use appropriate primary keys, foreign keys, and relationships.
  • Apply NOT NULL, UNIQUE, DEFAULT, and CHECK constraints where appropriate.
  • Insert controlled sample data for testing.
  • Write queries for customer, product, order, and payment reporting.
  • Create at least two reporting views.
  • Create appropriate indexes for common query patterns.
  • Use a transaction for an order or payment workflow.
  • Create a limited database user with least-privilege access.
  • Document the schema, assumptions, queries, and backup plan.

Quality requirements

  • Use consistent naming conventions for tables and columns.
  • Avoid storing duplicated customer or product information unnecessarily.
  • Use foreign keys to maintain referential integrity.
  • Use appropriate data types for each column.
  • Do not store passwords, card numbers, or sensitive payment details in plain text.
  • Use indexes only where they support real query patterns.
  • Test constraints, joins, transactions, and reporting queries.
  • Use parameterized queries in application code to reduce SQL-injection risk.
  • Document backup and restore procedures.
  • Clearly state assumptions, limitations, and future improvements.

A strong database design should prevent invalid data, support business rules, make reporting easier, and remain maintainable as the application grows.

Suggested project structure

Keep schema scripts, seed data, queries, documentation, and backup materials organized for maintainability.

ecommerce-database/
├── sql/
│   ├── 01_create_database.sql
│   ├── 02_create_tables.sql
│   ├── 03_create_indexes.sql
│   ├── 04_create_views.sql
│   └── 05_create_users.sql
├── data/
│   ├── seed-data.sql
│   └── sample-queries.sql
├── docs/
│   ├── schema-design.md
│   ├── business-rules.md
│   └── backup-plan.md
├── diagrams/
│   └── erd.png
├── README.md
└── .gitignore

Do not commit database passwords, connection strings, private keys, real customer data, or production backup files to a public repository.

MySQL database workflow

Database projects are iterative. New business rules, reporting needs, performance findings, and data-quality issues may require updates to tables, constraints, indexes, queries, or security.

Requirements

Define entities

Identify business objects, relationships, and required reports.

Design

Model the schema

Create tables, keys, relationships, and integrity constraints.

Data

Load sample data

Insert controlled test data and validate expected results.

Queries

Build reports

Write joins, aggregations, views, and business queries.

Performance

Optimize queries

Review query plans, indexes, and slow-query patterns.

Operations

Protect data

Manage users, privileges, backups, restores, and maintenance.

Normalization helps reduce duplicate data and improve integrity, while indexes help improve query performance when designed around actual access patterns.

Tools and technologies

The exact MySQL version and client tools may vary by delivery. The proposed toolkit focuses on practical MySQL database development.

  • MySQL 8
  • MySQL Server
  • MySQL Workbench
  • DBeaver
  • SQL
  • ER diagrams
  • Git
  • GitHub
  • Visual Studio Code

Supporting concepts

  • Relational databases and normalization.
  • DDL, DML, and DCL SQL commands.
  • Joins, subqueries, and CTEs.
  • Constraints, keys, and referential integrity.
  • Indexes, transactions, and query plans.
  • Views, procedures, functions, and triggers.
  • Users, privileges, backups, and recovery.

Learning outcomes

By completing the proposed lessons and exercises, aim to demonstrate the following abilities:

  • Explain relational-database and MySQL fundamentals.
  • Design normalized MySQL schemas and relationships.
  • Write SQL queries for filtering, joining, and reporting.
  • Use constraints to protect data integrity.
  • Create and evaluate indexes for query performance.
  • Use transactions and rollback operations safely.
  • Create views, stored procedures, functions, and triggers.
  • Manage users and apply least-privilege access.
  • Analyze slow queries and optimize database performance.
  • Plan backups, restores, and database maintenance.

These are learning objectives, not guarantees of employment, certification, placement, or a specific database role. Progress depends on SQL practice, data modeling, troubleshooting, and continued learning.

Related career interests

Illustrative directions for continued learning, not job or placement guarantees.

  • MySQL Developer
  • Database Developer
  • Backend Developer
  • Database Administrator Trainee
  • Data Analyst Trainee
  • Database Support Engineer
  • Technology Trainee

Portfolio presentation ideas

  • Explain the business requirements and database entities.
  • Show the ER diagram and table relationships.
  • Demonstrate key business and reporting queries.
  • Explain constraints, indexes, and transactions.
  • Present query-optimization examples and results.
  • Discuss security, backups, and maintenance procedures.

Frequently asked questions

Who is this course for?

It is suitable for beginners, developers, data learners, and career changers who want to build practical MySQL and SQL skills.

Do I need SQL experience?

Basic SQL knowledge is helpful, but the course begins with MySQL and SQL fundamentals.

Do I need programming experience?

No. Basic computer knowledge is sufficient. Programming knowledge can help when connecting databases to applications.

Will the course cover database design?

Yes. It covers entities, relationships, normalization concepts, primary keys, foreign keys, constraints, and ER diagrams.

Will the course cover joins?

Yes. It covers INNER JOIN, LEFT JOIN, RIGHT JOIN, self joins, multiple-table joins, subqueries, and common table expressions.

Will the course cover indexes?

Yes. It covers primary, secondary, unique, and composite indexes, along with query plans and performance-analysis concepts.

Will the course cover transactions?

Yes. It covers ACID concepts, transactions, commit, rollback, savepoints, isolation levels, and locking concepts.

Will the course cover stored procedures?

Yes. It covers views, stored procedures, stored functions, and triggers.

Will the course cover backups?

Yes. It covers backup types, backup strategies, restore concepts, and database-maintenance practices.

What is the capstone project?

The proposed capstone is an E-commerce Database covering customers, products, orders, payments, reporting views, indexes, transactions, and documentation.

Which tools are used?

The proposed tools include MySQL 8, MySQL Workbench, and DBeaver. Confirm the academy's selected MySQL version and client tools before enrollment.

How long is the course?

The supplied course information proposes a duration of six weeks. Confirm the academy's official schedule, tools, datasets, and assessment requirements.

Does this course guarantee a job?

No. The course can support practical learning and portfolio development, but it does not guarantee employment, placement, certification, or salary.

How do I enroll?

This page is a frontend course-information demonstration. Enrollment, payment, scheduling, and admission workflows are not implemented here.

Build reliable relational databases

Build your MySQL project

Study schema design, SQL, joins, constraints, indexes, transactions, views, security, optimization, and backups through a practical E-commerce Database project.

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