Название: Elasticsearch 8 for Developers: A beginner's guide to indexing, analyzing, searching, and aggregating data, 2nd Edition
Автор: Anurag Srivastava
Издательство: BPB Publications
Год: 2024
Страниц: 418
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Learn how to build and deploy scalable, real-time search applications with Elasticsearch 8.

Key Features:

- Learn the basics of Elasticsearch, including its key features and use.
- Understand the Elastic Stack and how its components, such as Kibana, Logstash, and Beats work with Elasticsearch to search, analyze, and visualize data.
- Learn how to tune Elasticsearch to improve its performance, scalability, and reliability.

Description:

Elasticsearch is a powerful tool for handling and managing large amount of data. It is scalable, reliable, and fast, with various features for data analysis and search. This book is a comprehensive guide to using Elasticsearch to manage data. It starts with an overview of Elasticsearch, detailing its importance in today's world. The book further covers the basics of Elasticsearch, including installation, configuration, and index management. Next, the book covers more advanced topics, such as handling geospatial data and using aggregations to analyze data. It also covers performance optimization and administration. Throughout the book, the author provides practical examples to help you understand and apply the concepts learned. By the end of this book, you will have a deep understanding of Elasticsearch and use it to manage and extract valuable insights from large amount of data.

In the Chapter 2, we were introduced to the latest features of Elasticsearch. We proceeded to install Elasticsearch on various platforms. Subsequently, we explored Elasticsearch REST APIs. In this chapter, we will delve into the Elastic Stack and its core components: Elasticsearch, Logstash, Kibana, and Beats. Firstly, we will provide an overview of each component and then delve deeper into their functionalities. Finally, we will explore how these components work together to cater for different use cases. Upon completing this chapter, you will have a comprehensive understanding of Elastic Stack, a powerful set of open-source tools for data storage, retrieval, and analysis. You will explore the various components that make up Elastic Stack, including Elasticsearch for distributed search and analytics, Kibana for data visualization and exploration, Logstash for data collection and processing, and Beats for lightweight data shippers. Additionally, you will learn how these components seamlessly work together, enabling you to effectively manage and analyze data, derive valuable insights, and build powerful applications with ease. This knowledge will empower you to harness the full potential of Elastic Stack and enhance your data-driven decision-making processes. Additionally, we will discuss the various Elasticsearch clients available for developers, such as Java, PHP, Perl, Python, .NET, and jаvascript. These clients enable developers to leverage Elasticsearch’s search capabilities in their preferred programming language and ecosystem. Elasticsearch provides an official Node.js client for jаvascript.

What you will learn:

- Learn how to ingest, store, and visualize data using Elasticsearch for efficient management.
- Understand how Elasticsearch works and compare it to other search engines.
- Install Elasticsearch on different operating systems.
- Learn about Elasticsearch index management in detail.
- Use practical examples to learn how to import data from various sources, such as relational databases and files.
- Build high-performance search systems and optimize Elasticsearch clusters.

Who this book is for:
This book is tailored towards a wide range of professionals, including developers, architects, database administrators, DevOps engineers, and other readers who are interested in efficiently learning Elasticsearch and how to apply it in their applications - whether new or existing. It particularly benefits those who wish to work with data using Elasticsearch. It is recommended that readers have basic computer knowledge, as well as a familiarity with JSON and REST, before starting this book. Additionally, this book covers Elasticsearch alongside an introduction to other tools within the Elastic Stack. No prior knowledge of Elasticsearch is necessary, as this book is designed to start with the basics and gradually progress to advanced topics in a practical and understandable way. With this approach, anyone can easily grasp the concepts presented in this book.

Contents:





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