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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

Generative AI on AWS

Ever since the art of the possibility, using GenAI has become obvious, and almost all cloud service providers and software vendors have shown a sense of urgency in providing new services/tools to help organizations build GenAI-based applications for their use cases. AWS also provides a few services that directly assist with this. Keep in mind that new services, along with new features in existing services, will continue to roll out going forward, so keep an eye on new ways of solving business use cases in the future.

To unlock the potential of GenAI, AWS focuses on a few considerations that organizations care for. Let’s look at them and introduce AWS services that support these considerations.

Firstly, building ML models is never trivial; in our predictive analytics chapter, we discussed the many stages that need to be addressed before and after training an ML model. Building and using FMs at scale needs a lot of work. AWS recently announced a new...

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