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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

Running Kibana in a Docker container

You can quickly launch Kibana with the Kibana Docker image. You can search, view, and analyze the Elasticsearch index in the forms of charts, tables, and maps. Run the following command to bring up Kibana:

$./docker_run_kibana

Direct your web browser to http://localhost:5601 to communicate with Kibana. The home page of Kibana is as follows:

Let's try to test Kibana with the sample data provided by the official website by following these steps:

  1. Press Add sample data hyperlink and you will see the page shown in the following screenshot:
  1. Now, l take the Sample flight data. Press the Add data button and you will see the page shown in the following screenshot:
  1. Amazing! What a wonderful dashboard to show the flight data. Move your mouse to the button in the left toolbar, highlighted by the a box, and press it. This will take you to the...
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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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