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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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Who this book is for

The book is aimed at beginners with no prior experience with Elasticsearch, and gradually introduces intermediate and advanced topics. The chapters walk through the most important aspects to help audiences to build and master the powerful search engine. Search engine data engineers, software engineers, and database engineers who want to take their basic knowledge of Elasticsearch to the next level can use it to its optimum level in their daily core tasks.

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Authors (2)

Wong

Wai Tak Wong is a faculty member in the Department of Computer Science at Kean University, NJ, USA. He has more than 15 years professional experience in cloud software design and development. His PhD in computer science was obtained at NJIT, NJ, USA. Wai Tak has served as an associate professor in the Information Management Department of Chung Hua University, Taiwan. A co-founder of Shanghai Shellshellfish Information Technology, Wai Tak acted as the Chief Scientist of the R&D team, and he has published more than a dozen algorithms in prestigious journals and conferences. Wai Tak began his search and analytics technology career with Elasticsearch in the real estate market and later applied this to data management and FinTech data services.

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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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