You're reading from Getting Started with Elastic Stack 8.0 Run powerful and scalable data platforms to search, observe, and secure your organization

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781800569492

Length 474 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Asjad Athick

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Table of Contents (18) Chapters

Preface

1. Section 1: Core Components

2. Chapter 1: Introduction to the Elastic Stack FREE CHAPTER

3. Chapter 2: Installing and Running the Elastic Stack

4. Section 2: Working with the Elastic Stack

5. Chapter 3: Indexing and Searching for Data

6. Chapter 4: Leveraging Insights and Managing Data on Elasticsearch

7. Chapter 5: Running Machine Learning Jobs on Elasticsearch

8. Chapter 6: Collecting and Shipping Data with Beats

9. Chapter 7: Using Logstash to Extract, Transform, and Load Data

10. Chapter 8: Interacting with Your Data on Kibana

11. Chapter 9: Managing Data Onboarding with Elastic Agent

12. Section 3: Building Solutions with the Elastic Stack

13. Chapter 10: Building Search Experiences Using the Elastic Stack

14. Chapter 11: Observing Applications and Infrastructure Using the Elastic Stack

15. Chapter 12: Security Threat Detection and Response Using the Elastic Stack

16. Chapter 13: Architecting Workloads on the Elastic Stack

17. Other Books You May Enjoy

Chapter 3: Indexing and Searching for Data

Having successfully installed Elasticsearch (and other core components) on our operating system or platform of choice, this chapter will focus on diving deeper into Elasticsearch. As discussed in Chapter 2, Installing and Running the Elastic Stack, Elasticsearch is a distributed search engine and document store. With the ability to ingest and scale terabytes of data a day, Elasticsearch can be used to search, aggregate, and analyze any type of data source. It is incredibly easy to get up and running with a single-node Elasticsearch deployment.

This chapter will explore some of the advanced functionality that you will need to understand to design and scale for more complex requirements around ingesting, searching, and managing large volumes of data. Upon completing this chapter, you will understand how indices work, how data can be mapped to an appropriate data type, and how data can be queried on Elasticsearch.

Specifically, we will...