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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

File and storage migration

A lot of data still resides in files for many reasons. When the data resides in files, we just need an easy transfer mechanism to bring it over into the raw layer of the data lake in S3. In this section, we will explore some of the AWS services that make it easy to transfer files into the AWS ecosystem.

AWS DataSync

AWS DataSync makes it easy to continuously migrate on-prem data into many AWS storages, including Amazon S3. DataSync has an agent that needs to be deployed that will help do all the heavy lifting for the data migration. Before we look at the usage patterns, let’s look at a use case at GreatFin that makes DataSync very appealing.

Use case for data migration using AWS DataSync

Multiple LOBs at GreatFin want to save costs by retiring multi-terabyte data stored on their on-prem storage systems. They want to continuously replicate new data as it arrives on their on-prem storage. Also, because of regulatory requirements, they have...

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