hands-on lab

Visualizing Geospatial Data with Python and BigQuery

Up to 1h
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.


This lab will teach you how to create maps from geospatial data using the GeoJSON extension for JupyterLabs. The first section of the lab walks through building a map of New York City landmarks, building up from a single geospatial point, then creating a feature collection and finally adding points to the existing feature collection. The second section uses Google’s zip code public dataset to convert BigQuery GEOGRAPHY objects to GeoJSON format and map geospatial polygons.

Learning Objectives

Upon completion of this lab you will be able to:

  • Use the GeoJSON extension to JupyterLabs to map geospatial data
  • Map GeoJSON objects in Jupyter notebooks
  • Interact with BigQuery GIS datasets within Jupyter notebooks
  • Map geospatial data from BigQuery GIS's GEOGRAPHY data type

Intended Audience

This lab is intended for:

  • GIS engineers
  • Data engineers dealing with location-based data
  • Developers looking to leverage geospatial information


You should possess:

  • Basic understanding of relational databases and ANSI SQL
  • Basic understanding of Python
  • Familiarity with BigQuery GIS's GEOGRAPHY datatype

About the author

Learning paths

Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.

Covered topics

Lab steps

Starting the Lab's Jupyter Notebook in Google Cloud