Why Kibana visualizes Elasticsearch data - See It in Action

Why Kibana Visualizes Elasticsearch Data

📖 Scenario: You work in a company that collects lots of data using Elasticsearch. You want to understand how Kibana helps to see this data clearly.

🎯 Goal: Build a simple Elasticsearch index with sample data, then configure Kibana to visualize this data so you can see patterns easily.

📋 What You'll Learn

Create an Elasticsearch index with sample documents

Add a configuration setting for the index pattern in Kibana

Write a query to retrieve data from Elasticsearch

Set up a basic Kibana visualization using the query results

💡 Why This Matters

🌍 Real World

Companies use Elasticsearch to store large amounts of data and Kibana to visualize it for easy understanding and decision making.

💼 Career

Knowing how to connect Elasticsearch data with Kibana visualizations is important for roles like data analyst, backend developer, and system administrator.

1

Create Elasticsearch Index with Sample Data

Create an Elasticsearch index called sales_data with these exact documents: {"product": "Laptop", "price": 1200}, {"product": "Phone", "price": 800}, and {"product": "Tablet", "price": 600}.

Elasticsearch

# Create the index and add the documents
# Your code here

Need a hint?

Use the PUT method to create documents in the sales_data index.

2

Configure Kibana Index Pattern

Create a Kibana index pattern called sales_data to connect Kibana with the Elasticsearch index you created.

Elasticsearch

PUT /sales_data/_doc/1
{
  "product": "Laptop",
  "price": 1200
}

PUT /sales_data/_doc/2
{
  "product": "Phone",
  "price": 800
}

PUT /sales_data/_doc/3
{
  "product": "Tablet",
  "price": 600
}

# Add Kibana index pattern configuration here
# Your code here

Need a hint?

In Kibana, go to Management > Stack Management > Index Patterns and create a new pattern named sales_data.

3

Write Query to Retrieve Data

Write an Elasticsearch query to get all documents from the sales_data index.

Elasticsearch

PUT /sales_data/_doc/1
{
  "product": "Laptop",
  "price": 1200
}

PUT /sales_data/_doc/2
{
  "product": "Phone",
  "price": 800
}

PUT /sales_data/_doc/3
{
  "product": "Tablet",
  "price": 600
}

# Write a query to get all documents from sales_data
GET /sales_data/_search
{
  # Your code here
}

Need a hint?

Use the match_all query to get every document.

4

Create Basic Kibana Visualization

In Kibana, create a basic visualization (like a bar chart) using the sales_data index pattern to show the price of each product.

Elasticsearch

PUT /sales_data/_doc/1
{
  "product": "Laptop",
  "price": 1200
}

PUT /sales_data/_doc/2
{
  "product": "Phone",
  "price": 800
}

PUT /sales_data/_doc/3
{
  "product": "Tablet",
  "price": 600
}

# In Kibana UI, create an index pattern named 'sales_data' to match the Elasticsearch index

GET /sales_data/_search
{
  "query": {
    "match_all": {}
  }
}

# Create a bar chart visualization in Kibana using sales_data index pattern
# Your code here

Need a hint?

Use Kibana's Visualization tool to create a bar chart with product on the X-axis and average price on the Y-axis.