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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

Docker


Docker is an open source software technology managed by Docker Inc. It was initially released in March 2013. Docker makes it easy for you to create, run, and deploy containers. It is designed to be part of an application's development and deployment lifecycle, leaving developers and system administrators reassured that it will run smoothly on any machine without omitting any dependency or configuration. Now, let's explore what happens when you try to run a Docker image.

Docker workflow

There are three components in a Docker engine; they are as follows:

  • Docker Client: As the name states, this is a client on the front end that is used to give commands to the Docker host; these commands can be of any type.
  • Docker Host: This is the main engine that stores container images and runs them. It executes different commands as requested by the Docker client.
  • Docker Hub: This is a repository of container images. Once a client requests to run an image, Docker Host checks internally whether the image...
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