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Learning Elastic Stack 7.0

You're reading from   Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd 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 (17) Chapters Close

Preface 1. Section 1: Introduction to Elastic Stack and Elasticsearch
2. Introducing Elastic Stack FREE CHAPTER 3. Getting Started with Elasticsearch 4. Section 2: Analytics and Visualizing Data
5. Searching - What is Relevant 6. Analytics with Elasticsearch 7. Analyzing Log Data 8. Building Data Pipelines with Logstash 9. Visualizing Data with Kibana 10. Section 3: Elastic Stack Extensions
11. Elastic X-Pack 12. Section 4: Production and Server Infrastructure
13. Running Elastic Stack in Production 14. Building a Sensor Data Analytics Application 15. Monitoring Server Infrastructure 16. Other Books You May Enjoy

Visualizing the data in Kibana

We have successfully set up the Logstash data pipeline and 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&track_total_hits=true
{
"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's go through each step.

...
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