Learn advanced SQL, starting with SQL basics, data types, JSON/XML, and spatial data, and covering advanced techniques for dynamic and efficient database management.

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MySQL Server

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MySQL Server (with Timezones)

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Dive into MySQL, a powerful database system for developers handling complex data structures. Learning MySQL equips you with skills for diverse applications, from web development to advanced data analysis, enhancing your ability to manage and manipulate data efficiently.

This course starts with MySQL Shell basics, leading to exploring data types and mastery of SQL statements. You will learn about user-defined variables and table expressions and delve into JSON and XML data handling. The course also covers spatial data management and advanced techniques like recursive queries and window functions. Each module builds upon the last, ensuring a comprehensive understanding of MySQL’s capabilities.

After completing this course, you will have a solid grasp of MySQL and be ready to solve intricate data problems. This expertise opens doors to advanced database roles and opportunities, elevating your career in the tech industry.

Mastering Advanced SQL Techniques with MySQL

In previous encounters with SQL, we have encountered repetitive values in a sequence of SQL statements. To illustrate this problem, let us consider a scenario where we are handed a set of car models. In terms of SQL, we are working with the following data model:

-- Generate a temporary table for sample car models.
DROP TABLE IF EXISTS CarModel;
CREATE TEMPORARY TABLE CarModel
(
    id           INT auto_increment,
    manufacturer TEXT DEFAULT NULL,
    name         TEXT DEFAULT NULL,
    `power (kW)` INT  DEFAULT NULL,
    PRIMARY KEY (id)
);

The above-defined temporary table `CarModel` defines four columns, namely `id`, `manufacturer`, `name`, and `power (kW)`. The first column identifies each car model through an automatically generated numeric ID. The remaining three attributes describe the car model by manufacturer, name, and power in kilowatts. Please note that the `manufacturer` is defined with the data type `TEXT` to simplify the example. However, this leads to repetitive content, i.e., the name of a manufacturer that produces multiple car models will appear multiple times in `CarModel`. We would rather use a separate table that records the available manufacturers in a real-world database. In `CarModel`, `manufacturer` would then use a foreign key to link the manufacturer’s ID rather than its name.

To issue a sequence of SQL statements on `CarModel`, we first need to populate the table with sample car models:

Learn how to create user-defined variables and understand the contents you can store in them.

Getting Started

Data Types

SQL Statements

Flow Control Functions

String Functions

Date and Time Functions

Aggregate Functions

Window Functions

Recursion

JSON and XML

Spatial Data

Mastering Advanced SQL Techniques with MySQL

Conclusion

User-Defined Variables