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Advanced Elasticsearch 7.0

You're reading from   Advanced Elasticsearch 7.0 A practical guide to designing, indexing, and querying advanced distributed search engines

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Length 560 pages
Edition 1st Edition
Languages
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Author (1):
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Wai Tak Wong Wai Tak Wong
Author Profile Icon Wai Tak Wong
Wai Tak Wong
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Fundamentals and Core APIs FREE CHAPTER
2. Overview of Elasticsearch 7 3. Index APIs 4. Document APIs 5. Mapping APIs 6. Anatomy of an Analyzer 7. Search APIs 8. Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
9. Modeling Your Data in the Real World 10. Aggregation Frameworks 11. Preprocessing Documents in Ingest Pipelines 12. Using Elasticsearch for Exploratory Data Analysis 13. Section 3: Programming with the Elasticsearch Client
14. Elasticsearch from Java Programming 15. Elasticsearch from Python Programming 16. Section 4: Elastic Stack
17. Using Kibana, Logstash, and Beats 18. Working with Elasticsearch SQL 19. Working with Elasticsearch Analysis Plugins 20. Section 5: Advanced Features
21. Machine Learning with Elasticsearch 22. Spark and Elasticsearch for Real-Time Analytics 23. Building Analytics RESTful Services 24. 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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