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Elasticsearch 8 for Developers A beginner
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Elasticsearch 8 for Developers A beginner's guide to indexing, analyzing, searching, and aggregating data, 2nd Edition
Author: Anurag Srivastava
Year: 2024
Pages: 418
Format: EPUB
File size: 10.1 MB
Language: ENG



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Elasticsearch 8 for Developers A beginner's guide to indexing analyzing searching and aggregating data 2nd Edition is a comprehensive guide to understanding the power of Elasticsearch 8, one of the most popular open-source search and analytics engines, and its capabilities to index, analyze, search, and aggregate data. The book is designed for developers who want to learn how to use Elasticsearch 8 to build scalable and efficient search solutions that can handle large amounts of data. The book begins by introducing the concept of search and the importance of search in today's digital world. It explains how search has become an essential part of our daily lives, from searching for information on the internet to finding specific products in online stores. The author then delves into the details of Elasticsearch 8, explaining how it works and what makes it different from other search engines. The first chapter covers the basics of Elasticsearch 8, including its architecture, features, and capabilities. The author provides an overview of the Elastic Stack, which is a collection of open-source products that provide search, analytics, and logging capabilities. The chapter also discusses the benefits of using Elasticsearch 8, such as its scalability, flexibility, and ease of use. The second chapter focuses on indexing, which is the process of adding data to Elasticsearch 8. The author explains how to create indexes, define mapping, and optimize indexing for better performance. This chapter also covers advanced indexing techniques, such as multi-field indexing and faceting. Chapter three covers searching, which is the process of retrieving data from Elasticsearch 8. The author explains how to build search queries, use filters and aggregations, and optimize search performance. This chapter also covers advanced searching techniques, such as faceted search and typo tolerance.
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