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.
Upon completion of this lab you will be able to:
This lab is intended for:
You should possess:
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.