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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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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

Summary

In this chapter, we started off by understanding the motivations of alternate search and analytics technologies other than relational databases and NoSQL stores. We looked at the strengths of Elasticsearch, which is at the heart of Elastic Stack. We then looked at the rest of the components of Elastic Stack and how they fit into the ecosystem. We also looked at real-world use cases of Elastic Stack. We have successfully downloaded and installed Elasticsearch and Kibana to begin the journey of learning about Elastic Stack.

In the next chapter, we will understand the core concepts of Elasticsearch. We will learn about indexes, types, shards, data types, mappings, and other fundamentals. We will also interact with Elasticsearch by using CRUD (Create, Read, Update, and Delete) operations, and learn the basics of search.

You have been reading a chapter from
Learning Elastic Stack 6.0
Published in: Dec 2017
Publisher: Packt
ISBN-13: 9781787281868
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