Summary

In this chapter, we explored and deep-dived into how different types of visualizations can be created and saved to a library or added to a dashboard. We explored a Lens visualization as one sure solution to many problems, with the help of two types of aggregations: metric and bucket aggregations, which work for us in the backend to retrieve the data. We also studied how geospatial fields that have geographical coordinates mapped to them in the data can be used to create a Maps visualization to pictorially display data on a world map. Also, we saw that Canvas, on the other hand, helps us create every type of view that could be part of a completely custom-defined requirement for a use case.

In the upcoming chapter, we will see how we utilize these visualizations to create a view called a dashboard that will help us connect a lot of dots in establishing important relationships within our data in the cluster.