Elasticsearch in Action – Manning Publications (2023)
English | eBook | Size: 20.30 MB
Build powerful, production-ready search applications using the incredible features of Elasticsearch.
In 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!
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.
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