Whether you need full-text search or real-time analytics of
structured data - or both - the Elasticsearch distributed search
engine is an ideal way to put your data to work. This practical
guide not only shows you how to search, analyze, and explore data
with Elasticsearch, but also helps you deal with the complexities
of human language, geolocation, and relationships. If you're a
newcomer to both search and distributed systems, you'll quickly
learn how to integrate Elasticsearch into your application. More
experienced users will pick up lots of advanced techniques.
Throughout the book, you'll follow a problem-based approach to
learn why, when, and how to use Elasticsearch features. Understand
how Elasticsearch interprets data in your documents Index and query
your data to take advantage of search concepts such as relevance
and word proximity Handle human language through the effective use
of analyzers and queries Summarize and group data to show overall
trends, with aggregations and analytics Use geo-points and
geo-shapes - Elasticsearch's approaches to geolocation Model your
data to take advantage of Elasticsearch's horizontal scalability
Learn how to configure and monitor your cluster in production
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