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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

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (20) Chapters Close

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

Preface

Welcome to the fifth edition of Elasticsearch Cookbook targeting Elasticsearch 8.x. It's a long journey (about 12 years) that I have been on with both Elasticsearch and readers of my books. Every version of Elasticsearch brings breaking changes and new functionalities, and the evolution of already present components is a continuous cycle of product and marketing evolution.

Elasticsearch, once a very niche product, is now one of the most used databases in the world (ranked seventh in April 2022 – source: https://db-engines.com/en/ranking), and both the on-premises (bare metal, Docker, or K8S) and multi-cloud markets provided by Elastic on Amazon, Azure, and Google will rank it as one of the next best solutions for cloud searching and storage.

The growth of Elasticsearch is mainly due to it being one of the best solutions for searching, storage, and providing analytics on unstructured content in petabyte-sized datasets, and these are the main pillars of modern data-centered companies.

In this book, you'll be guided through comprehensive recipes on Elasticsearch 8.x and see how you can create and run complex queries and analytics.

Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fifth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques to perform both everyday and uncommon tasks, such as how to deploy Elasticsearch nodes, integrate other tools into Elasticsearch, and create different visualizations with Kibana. Finally, you will integrate your Java, Scala, Python, and big data applications, such as Apache Spark and Pig, and create efficient data applications powered by enhanced functionalities and custom plugins.

By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

IMHO, this book is the last of a long series and, due to continuous refinements, technical/stylistic improvements, and the suggestions of about 10 years of readers, it's probably one of the most complete and effective books on Elasticsearch.

Dear reader, thus, it is a technical book. I hope you'll enjoy it from the bottom of your heart!

Sincerely,

Alberto

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