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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

Who this book is for

If you're a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industries who use Elasticsearch for metrics evaluation and search analytics to get deeper insights for better business decisions.

Prior experience with Elasticsearch will help you get the most out of this book in the latter chapters, which cover more advanced topics.

The rest of the chapter is locked

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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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