So far, we have looked at an example of the theory behind data-driven architecture in which Elasticsearch and Kibana play a key role: first at the storage layer, and second for the visualization section.
We also installed and set up Elasticstack, and walked through the different core and plugin components.
In the following chapters, we'll start implementing real-life use cases, starting with the logging use case, using accidentology data to try to understand the patterns of accidents that happen in Paris.
