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The Self-Taught Cloud Computing Engineer

You're reading from   The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Length 472 pages
Edition 1st Edition
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER 3. Chapter 2: Amazon Cloud Storage Services 4. Chapter 3: Amazon Networking Services 5. Chapter 4: Amazon Database Services 6. Chapter 5: Amazon Data Analytics Services 7. Chapter 6: Amazon Machine Learning Services 8. Chapter 7: Amazon Cloud Security Services 9. Part 2:Comprehending GCP Cloud Services
10. Chapter 8: Google Cloud Foundation Services 11. Chapter 9: Google Cloud’s Database and Big Data Services 12. Chapter 10: Google Cloud AI Services 13. Chapter 11: Google Cloud Security Services 14. Part 3:Mastering Azure Cloud Services
15. Chapter 12: Microsoft Azure Cloud Foundation Services 16. Chapter 13: Azure Cloud Database and Big Data Services 17. Chapter 14: Azure Cloud AI Services 18. Chapter 15: Azure Cloud Security Services 19. Part 4:Developing a Successful Cloud Career
20. Chapter 16: Achieving Cloud Certifications 21. Chapter 17: Building a Successful Cloud Computing Career 22. Index 23. Other Books You May Enjoy

Understanding the AWS big data pipeline

With the rise of big data and the increasing availability of data analytics tools and technologies, data analytics has become an essential component of modern business operations. Cloud-based technologies and services have been widely used to analyze and derive insights from big data, and provide the following benefits:

  • Scalability: Cloud-based data analytics systems can scale up or down based on the input volume of data and traffic, allowing businesses to handle large-scale datasets without having to invest in expensive hardware and infrastructure
  • Cost-effectiveness: Cloud-based data analytics systems are typically pay-as-you-go, allowing businesses to only pay for the resources they need and avoid extra investment in expensive hardware and infrastructure
  • Flexibility: Cloud-based data analytics provides a flexible and agile environment for processing and analyzing data, allowing businesses to select the best from different techniques...
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