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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

Visualizing the data in Kibana


We have successfully set up the Logstash data pipeline and also loaded some data using the pipeline into Elasticsearch. It is time to explore the data and build a dashboard that will help us gain some insights into the data.

Let's start by doing a sanity check to see if the data is loaded correctly. We can do so by going to Kibana Dev Tools and executing the following query:

GET /sensor_data-*/_search?size=0
{
  "query": {"match_all": {}}
}

This query will search data across all indices matching the sensor_data-* pattern. There should be a good number of records in the index if the data was indexed correctly.

We will cover the following topics:

  • Set up an index pattern in Kibana
  • Build visualizations
  • Create a dashboard using the visualizations

Let us go through each step.

Set up an index pattern in Kibana

Before we can start building visualizations, we need to set up the index pattern for all indexes that we will potentially have for the Sensor Data Analytics application...

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