Databases are extraordinarily powerful in managing sets of data. This lab is aimed at students with a moderate understanding of data engineering, and Python who want to understand how to perform aggregates on data such as COUNT(), SUM(), and AVG(). We will also look into advanced statements like CASE, and functions like DATEDIFF() and CONCAT(). We will walk through the changing requirements of a bug-tracking application and how to handle them.

Learning Objectives

Upon completion of this lab you will be able to:

• Utilize SQL aggregate functions
• Utilize complex functions
• Learn how to get complex insights from your data

Intended Audience

This lab is intended for:

• Data engineers
• Anyone interested in gaining insights from data using SQL

Prerequisites

You should possess:

• A moderate understanding of Python
• A basic understanding of data engineering concepts

Lab Environment

Due to the resources being provisioned for this lab, it can take up to 20 minutes from when you start the lab until the SQL instance becomes ready.

Updates

August 8th, 2024 - Added password protection to notebook

September 4th, 2023 - Updated instruction to use the correct table