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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

Modern Data Architecture on AWS

Before we dive deep into the actual data and analytics use cases and how to design and build them, let’s address the elephant in the room—what is a modern data architecture, and why build it on Amazon Web Services (AWS)?

One of the fundamental tenets of a modern data architecture on AWS is to seamlessly integrate your data lake, data warehouse, and purpose-built data stores. In the previous prologue, we looked at what a data warehouse is and what it does. We also looked at the data tier in a three-tier architecture, typically referred to as a relational database management system (RDBMS) and considered a type of purpose-built store. The type of system we haven’t really explored in much detail yet is the data lake. The next chapter is completely dedicated to data lakes, but before we go any further in this chapter, it is important to get some context around the need for data lakes in the first place.

In this chapter, we will...

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