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

`LIKE` is case sensitive, while `=` is not.

`LIKE` matches patterns, while `=` only matches equality.

`LIKE` does not disregard trailing spaces, while `=` does.

`LIKE` matches equality, while `=` also matches patterns.

**(Select all that apply.)** What advanced use cases does `LIKE` apply to over `=` for string comparison?

(Select all that apply.) What advanced use cases does <code>LIKE</code> apply to over <code>=</code> for string comparison?

**(Select all that apply.)** Which feature(s) for regular expressions does MySQL provide besides the fundamental concepts?

(Select all that apply.) Which feature(s) for regular expressions does MySQL provide besides the fundamental concepts?

Which function is _not_ available in MySQL?

Which function is not available in MySQL?

The regular expression `a|b` contains an alternation.

The regular expression `a.c` matches the string `"ac"`.

The regular expression `(a|c)` contains a quantification.

The regular expression `a{2,}` does _not_ match the string `"aa"`.

The results have to contain `peach` and may contain `banana` and/or `apple`. Results containing `banana` are ranked lower than others.

The results have to contain `apple`, `banana`, and `peach`. Results containing `banana` are ranked lower than others.

The results have to contain `apple` and `banana`, they may contain `peach`. Results containing `banana` are ranked lower than others.

The results have to contain `apple`, `banana`, and `peach`. Results containing `peach` are ranked higher than others.

What characterizes the results of a boolean full-text query using `apple ~banana +peach`?

What characterizes the results of a boolean full-text query using <code>apple ~banana +peach</code>?

Test your knowledge of string functions in MySQL.

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

Quiz: String Functions