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Data Engineering with AWS Cookbook

You're reading from   Data Engineering with AWS Cookbook A recipe-based approach to help you tackle data engineering problems with AWS services

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781805127284
Length 528 pages
Edition 1st Edition
Languages
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Authors (4):
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Viquar Khan Viquar Khan
Author Profile Icon Viquar Khan
Viquar Khan
Gonzalo Herreros González Gonzalo Herreros González
Author Profile Icon Gonzalo Herreros González
Gonzalo Herreros González
Huda Nofal Huda Nofal
Author Profile Icon Huda Nofal
Huda Nofal
Trâm Ngọc Phạm Trâm Ngọc Phạm
Author Profile Icon Trâm Ngọc Phạm
Trâm Ngọc Phạm
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Managing Data Lake Storage 2. Chapter 2: Sharing Your Data Across Environments and Accounts FREE CHAPTER 3. Chapter 3: Ingesting and Transforming Your Data with AWS Glue 4. Chapter 4: A Deep Dive into AWS Orchestration Frameworks 5. Chapter 5: Running Big Data Workloads with Amazon EMR 6. Chapter 6: Governing Your Platform 7. Chapter 7: Data Quality Management 8. Chapter 8: DevOps – Defining IaC and Building CI/CD Pipelines 9. Chapter 9: Monitoring Data Lake Cloud Infrastructure 10. Chapter 10: Building a Serving Layer with AWS Analytics Services 11. Chapter 11: Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads 12. Chapter 12: Harnessing the Power of AWS for Seamless Data Warehouse Migration 13. Chapter 13: Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS 14. Index 15. Other Books You May Enjoy

Leveraging AWS Snow Family for large-scale data migration

In the dynamic landscape of data management and migration, businesses often face the challenge of moving massive volumes of data securely and efficiently. AWS offers a suite of physical devices under the Snow Family, designed to facilitate large-scale data transfers.

This recipe explores the scenarios in which AWS Snow Family products should be considered for data migration. Additionally, we will delve into the Snow Family Large Data Migration Manager, a valuable tool for managing migrations of 500 TB or more.

AWS Snow Family comprises a range of physical devices designed to transfer large amounts of data to and from AWS. These devices include Snowcone, Snowball Edge, and Snowmobile, each tailored for different scales and types of data migration.

Here’s a comparison of the key features of Snowball, Snowball Edge, and Snowmobile:

  • Snowball:
    • Capacity: 80 TB
    • Networking: 10 GB+ network connection
    • Ideal for: Medium...
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