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Elasticsearch 8 for Developers - 2nd Edition

Język publikacji: angielskim
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392
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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.

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 for everyone who wants to learn Elasticsearch, whether you are a developer, architect, database administrator, DevOps engineer, or someone curious about working with data.

Table of Contents
1. Getting Started with Elasticsearch
2. Installing Elasticsearch
3. Elastic Stack: The Ecosystem of Elasticsearch
4. Preparing Data for Indexing
5. Importing Data into Elasticsearch
6. Index Management: Creating, Updating, and Deleting Elasticsearch Indices
7. Search Capabilities: Mastering Query DSL and Search Techniques
8. Handling Geo with Elasticsearch
9. Analyzing Data with Elasticsearch Aggregations
10. Performance Tuning
11. Administration: Managing Elasticsearch Clusters

O autorze książki

Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.

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