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Elasticsearch 8.x Cookbook

You're reading from Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781801079815

Length 750 pages

Edition 5th Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Alberto Paro

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1: Getting Started

2. Chapter 2: Managing Mappings FREE CHAPTER

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

Managing Kibana Discover

One of the most popular aspects of Kibana is the Discover dashboard. This is because it allows you to dynamically navigate your data. With the evolution of Kibana, a lot of new features have been added to the Discover dashboard in order to allow you to easily filter and analyze your data.

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. Additionally, a working Kibana instance is required, as described in the Installing Kibana recipe of this chapter.

If you have used Docker Compose, which is available in the ch01 directory, then everything should be correctly installed.

How to do it...

For managing Kibana dashboards, we will perform the following steps:

Access the Analytics | Discover section of Kibana, as shown in the following screenshot:

Figure 11.5 – Kibana...

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Authors (1)

Alberto Paro

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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