Summary
Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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 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 teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages.
What's Inside
About the Reader
For developers and administrators building and managing search-oriented applications.
About the Authors
Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics.
Table of Contents
PART 1 CORE ELASTICSEARCH FUNCTIONALITY
PART 2 ADVANCED ELASTICSEARCH FUNCTIONALITY
"synopsis" may belong to another edition of this title.
Radu Gheorghe is a search consultant and software engineer focused full time on Elasticsearch-based solutions.
Matthew Lee Hinman develops highly available, cloud-based systems, where he uses Elasticsearch to index and search over a petabyte of data.
Roy Russo is the Vice President of Engineering at Predikto Analytics, providing predictive analytics solutions to the Fortune 500.
"About this title" may belong to another edition of this title.
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