hands-on lab
Dealing With Schema Changes in a Data Service
Difficulty: Intermediate
Duration: Up to 1 hour
Students: 735
Rating: 3.8/5
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.
Description
Databases are extraordinarily powerful in managing sets of data, but what do we do when management wants to add/remove/modify something that code does? This lab is aimed at students with a moderate understanding of data engineering, and Python who want to understand how to update schemas to handle new features. 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:
- Evolve MySQL tables to handle schema changes
- Learn how to update data models to meet changing requirements
Intended Audience
This lab is intended for:
- Data engineers
- Anyone needing to perform a schema migration on a relational database
Prerequisites
You should possess:
- A moderate understanding of Python
- A basic understanding of data engineering concepts
Updates
August 8th, 2024 - Added password protection to notebook
Covered topics
Lab steps
Signing In to the Google Cloud Console
Opening the Lab's Jupyter Notebook in Google Cloud