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Elasticsearch 8.x Cookbook - Fifth Edition

You're reading from Elasticsearch 8.x Cookbook - Fifth Edition

Product type Book

Published in May 2022

Publisher Packt

ISBN-13 9781801079815

Pages 750 pages

Edition 5th Edition

Languages

Concepts

Enterprise Search

Author (1):

Alberto Paro

Table of Contents (20) Chapters

Preface

1. Chapter 1: Getting Started

2. Chapter 2: Managing Mappings

3. Chapter 3: Basic Operations

4. Chapter 4: Exploring Search Capabilities

5. Chapter 5: Text and Numeric Queries

6. Chapter 6: Relationships and Geo Queries

7. Chapter 7: Aggregations

8. Chapter 8: Scripting in Elasticsearch

9. Chapter 9: Managing Clusters

10. Chapter 10: Backups and Restoring Data

11. Chapter 11: User Interfaces

12. Chapter 12: Using the Ingest Module

13. Chapter 13: Java Integration

14. Chapter 14: Scala Integration

15. Chapter 15: Python Integration

16. Chapter 16: Plugin Development

17. Chapter 17: Big Data Integration

18. Chapter 18: X-Pack

19. Other Books You May Enjoy

Installing Kibana

The most well-known Elasticsearch interface is Kibana, and it is always released with Elasticsearch.

Kibana is a pluggable interface and is free to use with Elasticsearch. It provides data visualization, and it can be extended with a commercial product called X-Pack that provides security, graph capabilities, cluster monitoring, and many other features.

In this chapter, we will mainly cover the Kibana core components. Kibana with X-Pack offers a lot of functionalities and, as these are beyond the scope of this book, I suggest that you look for books related to Kibana for a full description of all Kibana's capabilities.

Getting ready

You will need an up-and-running Elasticsearch installation, similar to the one that we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started.

If you are installing using Docker Compose, which is available in the ch01 directory, then you don't need to manually install it...

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Authors (1)

Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.

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