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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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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

Hadoop Distributed File System

The Hadoop Distributed File System (HDFS) is a file system, as the name states, similar to Windows (FAT or NTFS) and Linux (swap, ext3, and so on) that is specifically designed for distributed systems that need to process large datasets with high availability. It is optimized to work with multiple nodes and spread data across them in a clustered computing environment to assure the maximum availability of data. The main difference between HDFS and other distributed file systems is that it is designed to run in a low-cost hardware setup and is highly fault-tolerant. The basic architecture of HDFS is shown in the following diagram:

Figure-3.1.1

HDFS has two main components that basically work using the master and slave concept. These two components are called the Name Node, which is the master node, and the DataNode, which is a slave...

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