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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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Toc

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

Design considerations


Now that we have discussed some factors due to which companies are moving their infrastructure onto cloud, let's now discuss some key factors that one should look at while designing an application to be used in this type of infrastructure. Applications are now more advanced and utilize different types of data instead of the traditional application, which uses structured data either in the form of a relational database or local storage. The following are some of the key considerations that one should cater to before designing a cloud-based infrastructure and the applications:

  • Open source versus commercial
  • Commodity hardware versus purpose built
  • Cloud versus on-premises
  • Application architecture
  • Cost

Let's start our discussion with the first topic, scalability.

Open source versus commercial

Now, while designing an infrastructure to run your applications on, you may need to decide which type of setup you want to have; either you want to use open source tools or instead you will...

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