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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
Languages
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Concepts
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Author (1):
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 Akhtar Akhtar
Author Profile Icon Akhtar
Akhtar
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Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
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 1. Other Books You May Enjoy Index

Kibana


Kibana was developed by the Elasticsearch team and was released as an open source project. It is very easy to use, yet is powerful enough to interact with Elasticsearch and perform analysis on demand. You can easily run a Kibana query by calling the Elasticsearch API. We have already learned that Elasticsearch interacts using REST API calls, so the query execution is a little different to what we use with a traditional SQL. In this case, Kibana provides a very simple environment for performing different actions by calling Elasticsearch API.

In Kibana, you can also create multiple dashboards and design different types of charts to visualize data – it's a well-known saying that a picture is worth a thousand words. Let's now move on to the installation of Kibana; we will explore its functionalities and how to use it later.

Installation

Let's now install Kibana. Follow the proceeding steps to get started:

  1. Point your browser to the URL https://www.elastic.co/downloads.
  2. Click on the Download...
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