We're partnering with Overture to make their Data easily accessible with Fused
TL;DR The Overture docs show how you can easily integrate any Overture data into your workflows using Fused.
Fused has been working with the team at The Overture Maps Foundation to enable direct access to their data through Fused UDFs. We are excited to share that the Overture docs now show examples on how to see how to integrate any Overture data into your workflows using Fused.
Overture Maps aims to provide foundational building blocks of data across various themes designed to be broadly applicable across industries. Our goal at Fused is to make it easy to work with Overture data and adopt standards (such as GERS). To this end, we are creating easy abstractions to access data, tools to perform foundational operations such as conflation and enrichment, and example workflows to inspire and help you understand how to leverage this data.
One of the key usecases for Overture + Fused is enriching datasets with Overture Maps data. This tutorial showcases 2 simple Python workflows that do this by performing a spatial join with Overture Buildings. This example of a simple enrichment operation will help you understand how to work with Overture data in your own workflows.