Relational modeling is widely used in the construction of transactional databases. You might say, "But I'm not planning to become a backend engineer." However, knowing not only how to move data, but also how to effectively store it, is a key skill. This includes creating a scalable data structure that ensures fast query processing and efficient data retrieval.
Ensuring Data Quality and Integrity
Besides performance, the relational model must ensure data quality and integrity through the use of constraints, primary and foreign keys, validation, and relationships between tables.
What You Will Learn
How to Design and Read a Data Model
You will get acquainted with three levels of relational modeling: conceptual, logical, and physical models. We will go through the entire process—from defining entities and attributes to building tables and relationships between them using keys and constraints.
Normalization from 0NF to 3NF
You will learn how to normalize data to avoid duplication and enhance integrity. We will step through the first, second, and third normal forms and explain how to apply them when building a database.
Deploying a MySQL Server Using Docker
In practice, you will learn to deploy MySQL as a container using Docker. We will also discuss alternative approaches, including local installations and cloud services.
Working with MySQL Workbench
You will install and use MySQL Workbench—one of the most popular GUI clients for working with MySQL. As part of the practice, you will create an ER diagram of a database using built-in modeling tools.
This course is an excellent start for those who want to think in terms of data structure, design databases “smartly,” and use best modeling practices.
