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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

Putting it all together

So far, we have discussed the different storage layers in a typical data lake in S3 and defined the purpose of each of the layers. We also introduced the concept of creating metadata using a Glue crawler and storing it in Glue Data Catalog. Finally, we looked at use cases for building transactional data lakes. This is a good time to pivot back to the GreatFin business requirements we introduced earlier and apply these data lake foundational concepts to our use case.

Marketing use case

Suppose the marketing department at GreatFin wants to find certain top leads for offering a new type of certificate of deposit (CD) with a higher interest rate to select a few high-net-worth customers only. In this case, the customer data will be stored in multiple systems, from different LOBs.

Let’s walk through what each layer in the data lake might look like.

Raw layer example

The following diagram is a depiction of data stored in a raw layer bucket in...

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