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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

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781801813396

Length 420 pages

Edition 1st Edition

Tools

AWS

Concepts

Data Science

Author (1):

Behram Irani

View More author details

Table of Contents (24) Chapters

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

Why subscribe?

23. Other Books You May Enjoy

Part 3: Govern, Scale, Optimize And Operationalize

In this part we cover a very important topic around governing the modern data platform, in order to make it more secure and compliant. We will also cover design aspects for scaling and optimizing the data platform. Finally, we will put this all together and show how the overall platform is operationalized and automated to run on a day-to-day basis in your production environment.

This part has the following chapters:

Chapter 14, Data Governance
Chapter 15, Data Mesh
Chapter 16, Performant and Cost-Effective Data Platform
Chapter 17, Automate, Operationalize and Monetize

The rest of the chapter is locked

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Authors (1)

Behram Irani

Behram Irani

Behram Irani is currently a technology leader at Amazon Web Services (AWS), specializing in data, analytics, and AI/ML. With over 20 years in the tech industry, he has helped organizations ranging from start-ups to large-scale enterprises modernize their data platforms. In the last 7 years at AWS, Behram has been a thought leader in the data, analytics, and AI/ML space. He has published a book and multiple papers and has led digital transformation efforts for many companies worldwide. Behram holds a Bachelor of Engineering in Computer Science from the University of Pune and an MBA from the University of Florida. He is also the author of Modern Data Architecture on AWS.

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