hands-on lab
Dealing With Schema Changes in a Data Service
Difficulty: Intermediate
Duration: Up to 1 hour
Students: 734
Rating: 3.8/5
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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