Elasticsearch In Action Second Edition Meap V13 2 All 15 Chapters Madhusudhan Konda by Madhusudhan Konda instant download after payment.

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 visualisations, and machine-learning.

about the technology
Modern search seems like magic. You type a few words and the search engine appears to know what you want. With the Elasticsearch near-real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work.

about the book
Elasticsearch in Action, Second Edition is a hands-on guide to developing fully functional search engines with Elasticsearch and Kibana. Rewritten for the latest version of Elasticsearch, this completely new second edition explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs.

It covers dozens of awesome techniques, such as
Developing a multitude of search queries
Working with various query types
Enabling search results with sorting and pagination functionality
Writing and working with advanced search queries
Working analytics and aggregations
Developing high level visualizations in Kibana
Configuring and scaling the clusters, and tuning performance

You’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. By the time you’re done, you’ll be ready to build amazing search engines for your clients that take advantage of Elasticsearch’s modern features.

about the reader
For application developers familiar with DevOps and web services.

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.