Core concepts

📄️ Why UDFs

Fused is a data analytics platform to write and deploy Python User Defined Functions (UDFs) behind HTTP endpoints and interactive applications.

📄️ Write UDFs

udf anatomy

🗃️ Data Ingestion

3 items

🗃️ Run UDFs

3 items

📄️ Map Tile/File

When spatial UDFs are called (i.e. that return spatial data like a GeoDataFrame or an array of GeoTiff tiles), they run and return the output of the execution like any UDF. However they can be called in two ways that influence how Fused handles them: File and Tile.

📄️ Caching

This pages explains how caching makes Fused more responsive & some best practices for making the best use of it

📄️ Async calls

A UDF can be called asynchronously using the async/await syntax. A common implementation is to call a UDF multiple times in parallel with different parameters then combine the results.

📄️ On-prem

Fused offers an on-prem version of the application in a Docker container. The container runs in your computing environment (such as AWS, GCP, or Azure) and your data stays under your control.

🗃️ Content management

4 items