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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

Section 2: Analytics and Visualizing Data

This section will introduce you to Elasticsearch topics such as text analysis, tokenizers, and analyzers, and to the importance of analysis. We will also learn about aggregation and see how we can acquire powerful insights from terabytes of data. Then, we will learn how to analyze log data using Logstash. You will gain insights into the architecture of Logstash and how to set it up. After that, we will see how filters bring Logstash closer to other real-time and near-real-time stream processing frameworks without the need to code. Finally, we will look at visualizations using Kibana. You will be amazed at how easy it is to create dashboards using Kibana.

This section includes the following chapters:

  • Chapter 3, Searching What is Relevant
  • Chapter 4, Analytics with Elasticsearch
  • Chapter 5, Analyzing Log Data
  • Chapter 6, Building...
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