(Ebook) Elasticsearch in Action, Second Edition (MEAP V13) by Madhusudhan Konda

(Ebook) Elasticsearch in Action, Second Edition (MEAP V13) by Madhusudhan Konda

Build powerful, production-ready search applications using the incredible features of Elasticsearch.In ElasticSearch in Action, Second Edition you will discoverArchitecture, concepts, and fundamentals of ElasticsearchInstalling, configuring and running Elasticsearch and KibanaCreating an index with custom settingsData types, mapping fundamentals, and templatesFundamentals of text analysis and working with text analyzersIndexing, deleting, and updating documentsIndexing data in bulk and reindexing and aliasing operationsLearning search concepts, relevancy scores and similarity algorithmsElasticsearch 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 technologyModern 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 bookElasticsearch 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 asDeveloping a multitude of search queriesWorking with various query typesEnabling search results with sorting and pagination functionalityWriting and working with advanced search queriesWorking analytics and aggregationsDeveloping high level visualizations in KibanaConfiguring and scaling the clusters, and tuning performanceYou’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 readerFor application developers familiar with DevOps and web services.about the authorMadhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack.