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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
Tools
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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

SaaS data ingestion using Amazon AppFlow

We are in an era where a lot of applications are SaaS based. Every SaaS-based application is different and has its own mechanism for capturing and storing data. Many SaaS applications also allow for reporting inside them, but many times, organizations want a holistic view across the whole data platform, which means they may want to join different datasets from multiple such applications, to derive the right level of insights from the data.

Let’s try to correlate this with a use case from GreatFin. If you recall from Chapter 2, the marketing department wanted to find top leads for offering a new type of certificate of deposit (CD) account to select a few high-net-worth customers. Let’s use that example to build our SaaS data ingestion use case.

Use case for data migration from a SaaS application

The marketing department ran a campaign to identify top leads who would be a great fit for offering a new CD account. The lead...

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