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

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781789957754

Length 560 pages

Edition 1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Wai Tak Wong

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Table of Contents (25) Chapters

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

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Section 1: Fundamentals and Core APIs

In this section, you will get an overview of Elasticsearch 7 by looking into various concepts and examining Elasticsearch services and core APIs. You will also look at the new distributed, scalable, real-time search and analytics engine.

This section is comprised the following chapters:

Chapter 1, Overview of Elasticsearch 7
Chapter 2, Index APIs
Chapter 3, Document APIs
Chapter 4, Mapping APIs
Chapter 5, Anatomy of an Analyzer
Chapter 6, Search APIs

You have been reading a chapter from

Advanced Elasticsearch 7.0

Published in: Aug 2019

Publisher: Packt

ISBN-13: 9781789957754

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Authors (1)

Wong

Dr. Timothy Wong is a 30 years IT veteran. He holds a PhD in networking from University of Manchester Institute of Science and Technology, UK. He has deep experience in wireless and wireline networking, digital a/v, software development, sales and consulting. He frequently works with telcos, banks, governments and enterprises. He is also a professor on Big Data, Wireless and IoT at Humber College, Toronto, Canada. As an entrepreneur, he co-founded a number of companies in the past 20 years. He infuses business and technical knowledge to pursue successes.

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