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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

Migrating on-premises HDFS data using AWS DataSync

Migrating large datasets from an on-premises HDFS environment to Amazon S3 can be complex, but AWS DataSync simplifies and accelerates this process. In this recipe, you’ll learn how to use AWS DataSync to seamlessly transfer data from Hadoop HDFS to Amazon S3, ensuring a secure and cost-effective migration.

AWS DataSync automates the tasks involved in data transfers, such as managing encryption, handling scripts, optimizing networks, and ensuring data integrity. It supports one-time migrations, ongoing workflows, and automatic replication for disaster recovery, offering transfer speeds up to 10 times faster than open source tools.

AWS DataSync supports the following for HDFS:

  • Copying files and folders between Hadoop clusters and AWS storage
  • DataSync agents running external to the cluster
  • Transferring over internet, Direct Connect, or VPN
  • End-to-end data validation
  • Incremental transfers, filtering...
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