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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 FREE CHAPTER
2. Introducing Elastic Stack 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

Preparing data

As Kibana is all about gaining insights from data, before we can start exploring with Kibana, we need to have data ingested to Elasticsearch, which is the primary data source for Kibana. When you launch Kibana, it comes with predefined options to enable loading of data to Elasticsearch with a few clicks and you can start exploring Kibana right away. When you launch Kibana by accessing the http://localhost:5601 link in your browser for the first time, you will see the following screen:

You can click on the Try our sample data button to get started quickly with Kibana by loading predefined data, or you can configure existing indexes present in Elasticsearch and analyze existing data by clicking on the Explore on my own button.

Clicking on the Try our sample data button will take you to the following screen:

Clicking on Add data on any of the three widgets/panels...

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