Seeking Advice on Optimizing Geospatial Data Workflows

Hi everyone,

I am currently working on a React Native based project that involves handling and analyzing a significant amount of geospatial data. However, I have used other APIs for the same. I’m looking for some advice on how to optimize workflows to improve performance and efficiency. However the performance is decent now.

Specifically, I am curious about:

  1. Data Processing: What tools or techniques have you found effective for processing large datasets? Are there any best practices you follow?
  2. Integration: How do you integrate various geospatial tools and platforms? Any recommendations on streamlining these processes?
  3. Performance: Any tips for improving the speed and responsiveness of geospatial applications?

When I was searching about them, I came across these articles Lessons from Successful Enterprise GIS Implementations with QGIS and PostGIS :: FOSS4G 2023 :: pretalx React Native Interview Questions that are quite informative. But I’d love to learn more from the community member.

Thanks in advance for your help :pray:

That’s pretty general question… For large raster data processing I use GRASS GIS (I am a GRASS developer). Here is my FOSS4GNA talk and workshop.

I agree with @annakrat. @smithjk can you provide more information about what you are trying to accomplish?