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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

Building a Sensor Data Analytics Application

In the previous chapter, we saw how you can take an Elastic Stack application to production. Armed with all the knowledge of the Elastic Stack and the techniques for taking applications to production, we are ready to apply these concepts in a real-world application. In this chapter, we will build one such application using the Elastic Stack that can handle a large amount of data, applying the techniques that we have learned so far.

We will cover the following topics as we build a sensor-data analytics application:

  • Introduction to the application
  • Modeling data in Elasticsearch
  • Setting up the metadata database
  • Building the Logstash data pipeline
  • Sending data to Logstash over HTTP
  • Visualizing the data in Kibana

Let's go through the topics.

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