Dataiku DSS provides a number of tools to assist with tasks for geospatial analytics. This includes:
A simple drag and drop interface for creating interactive maps;
Visual processors for common spatial data preparation tasks, such as creating GeoPoints;
The ability to work with various geospatial data formats, such as shapefiles;
Integration with programming languages like Python, R and SQL for using libraries like PostGIS;
Visual or code interface for building machine learning models, including those built on on geospatial data.
The following articles provide a hands-on introduction to many of these geospatial features in DSS.
You can also find this material in a course on Geospatial Analytics in the Dataiku Academy.