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Elasticsearch in action, second edition 2nd edition, madhusudhan konda

990 грн

Описание

Build powerful, production-ready search applications using the incredible
features of Elasticsearch.

Elasticsearch in Action, Second Edition

you will discover:

Architecture, concepts, and fundamentals of Elasticsearch

Installing, configuring, and running Elasticsearch and Kibana

Creating an index with custom settings

Data types, mapping fundamentals, and templates

Fundamentals of text analysis and working with text analyzers

Indexing, deleting, and updating documents

Indexing data in bulk, and reindexing and aliasing operations

Learning search concepts, relevancy scores, and similarity algorithms

Elasticsearch in Action, Second Edition

teaches you to build scalable search applications using Elasticsearch. This
completely new edition explores Elasticsearch fundamentals from the ground up.
You’ll deep dive into design principles, search architectures, and
Elasticsearch’s essential APIs. Every chapter is clearly illustrated with
diagrams and hands-on examples. You’ll even explore real-world use cases for
full text search, data visualizations, and machine learning. Plus, its
comprehensive nature means you’ll keep coming back to the book as a handy
reference!

Foreword by Shay Banon.

About the technology

Create fully professional-grade search engines with Elasticsearch and Kibana!
Rewritten for the latest version of Elasticsearch, this practical book
explores Elasticsearch’s high-level architecture, reveals infrastructure
patterns, and walks through the search and analytics capabilities of numerous
Elasticsearch APIs.

About the book

Elasticsearch in Action, Second Edition

teaches you how to add modern search features to websites and applications
using Elasticsearch 8. In it, you’ll quickly progress from the basics of
installation and configuring clusters, to indexing documents, advanced
aggregations, and putting your servers into production. You’ll especially
appreciate the mix of technical detail with techniques for designing great
search experiences.

What's inside

Understanding search architecture

Full text and term-level search queries

Analytics and aggregations

High-level visualizations in Kibana

Configure, scale, and tune clusters

About the reader

For application developers comfortable with scripting and command-line
applications.

About the author

Madhusudhan Konda

is a full-stack lead engineer, architect, mentor, and conference speaker. He
delivers live online training on Elasticsearch and the Elastic Stack.

Table of Contents