Elasticsearch in Action

Автор: Radu Gheorghe, Matthew Lee Hinman

Език:

Корици: С меки корици

Издател: MANNING PUBN

Наличност: 50% вероятност

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37.57 € 73.48 лв

Elasticsearch makes it easy to add efficient and scalable searches to enterprise applications. Busy...

Информация за книгата

Автор

Radu Gheorghe, Matthew Lee Hinman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2015

страници

495

EAN

9781617291623

ISBN

1617291625

Enbook ID

05174635

Издател

MANNING PUBN

Теглоt

846

Размери

234 x 186 x 25

Пълно описание

Elasticsearch makes it easy to add efficient and scalable searches to enterprise applications. Busy administrators and developers love this open source real-time search and analytics engine because they can simply install it, make a few tweaks, and go on with their work. Elasticsearch is miles deep, so once it's up and running, it can be used to build nearly any custom search solution imaginable. Elasticsearch in Action shows how to build scalable search applications using Elasticsearch. It starts off with an informative overview and an engaging introductory example. Within the first few chapters, it discusses core concepts needed to implement basic searches and efficient indexing. With the fundamentals well in hand, readers will gain an organized view of how to optimize their designs. The book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using curl, which makes them easily translatable to other languages. RETAIL SELLING POINTS Comprehensive coverage of all key features Use Elasticsearch with any language Shows how to create efficient, scalable search solutions AUDIENCE This book is perfect for developers building search-oriented applications. It's also a fantastic guide for sysadmins or DBAs managing enterprise search. ABOUT THE TECHNOLOGY Elasticsearch is an open-source, distributed search engine built on top of Apache Lucene. It's built for the cloud with scalability in mind. It's a good choice for anyone who wants to search through huge amounts of data and to scale on-the-fly.

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