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Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
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Author (1):
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Syed Muhammad Fahad Akhtar Syed Muhammad Fahad Akhtar
Author Profile Icon Syed Muhammad Fahad Akhtar
Syed Muhammad Fahad Akhtar
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Toc

Table of Contents (21) Chapters Close

Preface 1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 20. Other Books You May Enjoy

Summary

In this chapter, we learned about an enterprise-grade, full text-based search engine called Elasticsearch, which we successfully installed and configured. We then moved on to the Elasticsearch plugin Kibana, which is used to visualize data from Elasticsearch and to execute REST API calls in order to manipulate data within Elasticsearch. We also installed and configured Kibana.

Security is very important these days, which is why, instead of leaving our server insecure or using the default security options, we discussed a plugin provided by Elasticsearch, called X-Pack. We installed and configured X-Pack for Elasticsearch and Kibana.

We then moved on to the different API structures that perform CRUD operations so that we can create, read, update, and delete documents within Elasticsearch. We practically performed each scenario and studied the output generated in return.

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