hands-on lab
Importing and Exporting Geography Data with BigQuery
Difficulty: Beginner
Duration: Up to 1 hour
Students: 68
Rating: 4/5
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Description
This lab introduces the special GEOGRAPHY data type in Google Cloud Platform’s BigQuery GIS serverless data warehouse tool. The lab walks the user through the spatial constructor functions which allow the user to create GEOGRAPHY objects, including points, linestrings, and polygons. The final section covers how users can export GEOGRAPHY objects into other data formats, such as GeoJSON.
Learning Objectives
Upon completion of this lab you will be able to:
- Interact with BigQuery datasets within Jupyter notebooks
- Convert geospatial data into a BigQuery GIS
GEOGRAPHYdata object - Export BigQuery GIS
GEOGRAPHYobjects into other formats
Intended Audience
This lab is intended for:
- GIS engineers
- Data engineers dealing with location-based data
- Developers looking to leverage geospatial information
Prerequisites
You should possess:
- Basic understanding of relational databases and ANSI SQL
- Basic understanding of Python
Updates
August 7th, 2024 - Added password protection to notebook
Covered topics
Lab steps
Starting the Lab's Google Cloud Hosted Jupyter Notebook