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

The basic building block of SQL is a statement. Chaining multiple statements with the `;` delimiter produces a complete SQL script. SQL statements can be identified as data definition and data manipulation statements, most prominently. In addition to these two groups, though, there are also statements for controlling SQL transactions, prepared statements, and administrative statements.

# User-defined variables

To introduce a user-defined variable, MySQL uses the `SET` operator followed by the variable written as `@variable` where `variable` is the variable name consisting of alphanumerical characters, `.`, `_`, and `$`. Other characters are permitted if the variable is quoted, e.g., `@'another-variable'`. Associated with a `@variable` is its value defined by an `expression`:

```mysql
SET @variable = expression;
```

While we learned that MySQL supports a variety of data types, the result of `expression` is limited to integer, decimal, floating-point, (non)binary strings, and NULL values. Supplying a non-compliant data type results in an implicit conversion to a permitted one.

# User-defined variables

To introduce a user-defined variable, MySQL uses the `SET` operator followed by the variable written as `@variable` where `variable` is the variable name consisting of alphanumerical characters, `.`, `_`, and `＄`. Other characters are permitted if the variable is quoted, e.g., `@'another-variable'`. Associated with a `@variable` is its value defined by an `expression`:

```mysql
SET @variable = expression;
```

While we learned that MySQL supports a variety of data types, the result of `expression` is limited to integer, decimal, floating-point, (non)binary strings, and NULL values. Supplying a non-compliant data type results in an implicit conversion to a permitted one.

Summarize the key insights you’ve explored about SQL statements 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

Summary for SQL Statements

User-defined variables