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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

Apache Hadoop

Apache Hadoop is an open source software platform that processes very large datasets in a distributed environment with respect to storage and computational power, and is mainly built on low cost commodity hardware. It came into existence thanks to a Google File System paper that was published in October 2003. Another research paper from Google MapReduce looked at simplified data processing in large clusters.

Apache Nutch is a highly-scalable and extensible open source web crawler project which implemented the MapReduce facility and the distributed file system based on Google's research paper. These facilities were later announced as a sub-project called Apache Hadoop.

Apache Hadoop is designed to easily scale up from a few to thousands of servers. It helps you to process locally stored data in an overall parallel processing setup. One of the benefits of Hadoop...

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