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Modern Data Architecture on AWS

You're reading from   Modern Data Architecture on AWS A Practical Guide for Building Next-Gen Data Platforms on AWS

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Length 420 pages
Edition 1st Edition
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Author (1):
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Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Foundational Data Lake
2. Prologue: The Data and Analytics Journey So Far FREE CHAPTER 3. Chapter 1: Modern Data Architecture on AWS 4. Chapter 2: Scalable Data Lakes 5. Part 2: Purpose-Built Services And Unified Data Access
6. Chapter 3: Batch Data Ingestion 7. Chapter 4: Streaming Data Ingestion 8. Chapter 5: Data Processing 9. Chapter 6: Interactive Analytics 10. Chapter 7: Data Warehousing 11. Chapter 8: Data Sharing 12. Chapter 9: Data Federation 13. Chapter 10: Predictive Analytics 14. Chapter 11: Generative AI 15. Chapter 12: Operational Analytics 16. Chapter 13: Business Intelligence 17. Part 3: Govern, Scale, Optimize And Operationalize
18. Chapter 14: Data Governance 19. Chapter 15: Data Mesh 20. Chapter 16: Performant and Cost-Effective Data Platform 21. Chapter 17: Automate, Operationalize, and Monetize 22. Index 23. Other Books You May Enjoy

Predictive Analytics

A few years back, any discussion on artificial intelligence/machine learning (AI/ML) used to be a niche topic, relegated to the end chapters of most data platform books. The primary reason for this lack of urgency was due to the fact that AI/ML projects didn’t give a positive return on investment (ROI) for most businesses, due to the high total cost of ownership (TCO), for making AI/ML-based predictions a reality. However, with the onset of cloud technologies and the benefits it brings to businesses, AI/ML has become one of the primary topics of discussion and implementation for almost all businesses. We are now at a stage where any organization not doing any kind of predictive analytics is at risk of losing out to its competitors, who are constantly striving to look into the future and make business decisions based on it.

The topic of AI/ML is dense, and often, you will see a series of books catering to specific areas of it. Since we only have a chapter...

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