hands-on lab
Using Python to Drive Insights in BigQuery
Difficulty: Beginner
Duration: Up to 1 hour
Students: 102
Rating: 5/5
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
In today’s world, we have to deal with ever-growing datasets. These often require specialized computer solutions to handle the extremely large volume. Google BigQuery makes it easy to query, process, and visualize large datasets. In this lab we will get started with BigQuery to analyze a large public dataset.
Learning Objectives
Upon completion of this lab you will be able to:
- Utilize BigQuery magic notation to query in Jupyter Notebooks
- Utilize Python to interact with BigQuery
- Visualize a BigQuery dataset
Intended Audience
This lab is intended for:
- Data engineers
- Anyone interested in gaining insights from BigQuery using Python
Prerequisites
You should possess:
- A basic understanding of Python
- A basic understanding of data engineering concepts
Updates
August 7th, 2024 - Added password protection to notebook
Covered topics
Lab steps
Starting the Lab's Google Cloud Hosted Jupyter Notebook