Data Aggregation in Elasticsearch: A Guide

The wonderful world of Elasticsearch offers a plethora of options for data analysis. In this guide, we’ll walk you through a hands-on lab where you’ll aggregate data and glean insights from a 3-node Elasticsearch cluster.

Elasticsearch: The Heartbeat of Big Data

The Scenario

You’re a data analyst at an online banking company. The company utilizes a 3-node Elasticsearch cluster as a NoSQL database to manage active accounts. Your mission is to answer a series of questions using the Elasticsearch search API without fetching any documents, focusing strictly on aggregation results.

Questions:

1. How many unique employers exist among account holders?
2. How many accounts are there in each of the 50 US states?
3. What’s the average account balance for each of the 50 US states, and which state boasts the highest average balance?

Tools & Resources:

1. Elasticsearch Cluster Nodes
   - Master-1
   - Data-1
   - Data-2
2. Kibana Instance: On the master-1 node.

Kibana Login Page

Step-By-Step Aggregation Walkthrough