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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

Summary

Bravo! We have tried the major components of the Elastic Stack. You should now understand the basic concepts of the powerful Elastic Stack. We ran an example on Kibana to visualize some sample flight data from Elasticsearch. We also learned how to use Logstash to collect and parse log data from the system log file. We extended the use of Logstash as a central log-processing center by using Filebeat. We also played with the popular deployment technique of running the applications using the officially supported Elastic Stack Docker images.

In the next chapter, we will introduce Elasticsearch SQL. Yes, Elasticsearch also speaks SQL. You will learn the SQL semantics supported in Elasticsearch. You will also perform a SQL REST API with SQL statements. Also, you will work with JDBC (Java Database Connectivity), the software industry standard for databases.

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