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Advanced Elasticsearch 7.0

You're reading from  Advanced Elasticsearch 7.0

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Pages 560 pages
Edition 1st Edition
Languages
Author (1):
Wai Tak Wong Wai Tak Wong
Profile icon Wai Tak Wong

Table of Contents (25) Chapters

Preface Section 1: Fundamentals and Core APIs
Overview of Elasticsearch 7 Index APIs Document APIs Mapping APIs Anatomy of an Analyzer Search APIs Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
Modeling Your Data in the Real World Aggregation Frameworks Preprocessing Documents in Ingest Pipelines Using Elasticsearch for Exploratory Data Analysis Section 3: Programming with the Elasticsearch Client
Elasticsearch from Java Programming Elasticsearch from Python Programming Section 4: Elastic Stack
Using Kibana, Logstash, and Beats Working with Elasticsearch SQL Working with Elasticsearch Analysis Plugins Section 5: Advanced Features
Machine Learning with Elasticsearch Spark and Elasticsearch for Real-Time Analytics Building Analytics RESTful Services Other Books You May Enjoy

Matrix aggregations

Matrix aggregations is a family of functions, which is still being developed to provide a way to manipulate multiple fields at the same time and generate results for the fields in a matrix form. Matrix stats is the only type supported in matrix aggregations since version 5.0.

Matrix stats

This aggregation computes the numeric statistics on a set of given document fields, as shown in the following table:

Statistics measure Description
count The number of samples measured.
mean The average value of the field measured from the sample.
variance How far the values of the field measured are spread out from its mean value. The larger the variance, the more spread from its mean value.
skewness This...
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