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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
Concepts
Author (1):
Wai Tak Wong Wai Tak Wong
Profile icon Wai Tak Wong
LinkedIn
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.
See other products by Wai Tak Wong

Table of Contents (25) Chapters

Preface 1. Section 1: Fundamentals and Core APIs
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

Section 5: Advanced Features

In this section, you will be looking into some hot topics, such as machine learning and Apache Spark support with Elasticsearch. You will also be shown how to solve a text classification problem by using Elasticsearch and scikit-learn. You will also learn how to read data from an Elasticsearch index, perform some computations using Spark, and then write the results to another Elasticsearch index. And, at the end of the section, you will need to put most of what you learned in the previous chapters together to build the final project, that is, building Analytics RESTful Services.

This section is comprised the following chapters:

  • Chapter 16, Machine Learning with Elasticsearch
  • Chapter 17, Spark and Elasticsearch for Real-time Analytics
  • Chapter 18, Building Analytics RESTful Services
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Authors (1)

Profile icon Wai Tak Wong
LinkedIn
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.
Read more
See other products by Wai Tak Wong

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