Module 9: Specialized & Modern Topics

As the data landscape evolves, SQL has expanded far beyond simple tables. In this final theoretical module, you will learn how to handle modern data formats like JSON, solve complex logical puzzles like “Gaps and Islands,” and understand the subtle but critical differences between major SQL dialects.

Learning Objectives

In this module, you will:

• Query and extract data from Semi-Structured (JSON) blobs.
• Solve advanced logical problems using the Gaps and Islands technique.
• Understand the role of Stored Procedures and User Defined Functions (UDFs).
• Navigate the key differences between PostgreSQL, SQL Server, and MySQL.

Chapters

9.1 Semi-Structured Data Handling JSON/XML data directly within SQL queries.

9.2 Advanced Problems Solving 'Gaps and Islands' and other logical puzzles.

9.3 Procedures and UDFs Automating tasks and extending SQL with custom logic.

9.4 Dialect Differences Navigating the nuances of Postgres, T-SQL, and MySQL.

Note

These topics bridge the gap between a “SQL User” and a “Data Engineer.” They are the skills that allow you to handle messy, real-world data at scale.