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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

Structured Data

Up until a few years ago, companies were only storing data that was important to them and directly linked either with their business or customers. These types of data are mostly structural in form, which means that each of the data records in the dataset available will have similar attributes. In most cases, they are also linked together and have different types of relationship between them.

There are many commercial and open source relational databases available in the market that help us to store and manipulate structural data. Example of these databases are MySQL, Microsoft SQL, and PostgreSQL. Some of them are free to use for both individual or commercial use, but some of them require licenses. The license cost varies from provider to provider based on the features they provide and support. The number of users and IoT devices is increasing rapidly, resulting...

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