Compose is a tool for defining and running multi-container Docker applications. With Compose, you define the services that need to run in a YAML file. Then bring up the services by using the docker-compose command.

In my last articles, I have introduced the foundations for storing geospatial information in Elasticsearch. For various use cases, Kibana and the Elasticsearch Query DSL offer powerful features to solve specific problems.

In my previous article, I have introduced one of the geospatial capabilities of Elasticsearch. In this article, we continue with geo-distance analysis and geo-coverage in the area of Health in Switzerland.

The Elastic Stack is an open source foundation that offers data solutions from any source and any format. Digitalisation is just the start of exciting data exploration. We start our journey with geospatial information.

The main goal of using the machine learning tool available with the elastic stack is extracting the maximum value from the information we index. Thus far, we've been able to obtain page views with real time searches or perform data aggregations, but now machine learning allows us to address more particular behaviour and have more specific visualizations using learning techniques.