Deep diving into the backend of visualizations in Kibana

A visualization is simple to understand and create because, as we all know, it is on the frontend. But what powers up this visualization on Kibana from the backend is your aggregations. Elasticsearch aggregations help us to analyze our data with metrics or statistics, which require certain calculations to be done in the backend. So, you may have questions in your use case:

• Who are the most popular customers in my e-commerce dataset?
• What category of sales made the most profit in my business?
• What is the minimum runtime per day for my log data?
• What is the unique number of countries that are contributing to my geographical data?

All these questions can be answered by implementing various aggregations on Elasticsearch. The aggregations can be divided into key categories:

• Metric aggregations: Any problem statement that requires Elasticsearch to perform analytics as a mathematical formula on numeric...