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Serverless ETL and Analytics with AWS Glue

You're reading from   Serverless ETL and Analytics with AWS Glue Your comprehensive reference guide to learning about AWS Glue and its features

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781800564985
Length 434 pages
Edition 1st Edition
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Authors (6):
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Vishal Pathak Vishal Pathak
Author Profile Icon Vishal Pathak
Vishal Pathak
Ishan Gaur Ishan Gaur
Author Profile Icon Ishan Gaur
Ishan Gaur
Tomohiro Tanaka Tomohiro Tanaka
Author Profile Icon Tomohiro Tanaka
Tomohiro Tanaka
Albert Quiroga Albert Quiroga
Author Profile Icon Albert Quiroga
Albert Quiroga
Subramanya Vajiraya Subramanya Vajiraya
Author Profile Icon Subramanya Vajiraya
Subramanya Vajiraya
Noritaka Sekiyama Noritaka Sekiyama
Author Profile Icon Noritaka Sekiyama
Noritaka Sekiyama
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Table of Contents (20) Chapters Close

Preface 1. Section 1 – Introduction, Concepts, and the Basics of AWS Glue
2. Chapter 1: Data Management – Introduction and Concepts FREE CHAPTER 3. Chapter 2: Introduction to Important AWS Glue Features 4. Chapter 3: Data Ingestion 5. Section 2 – Data Preparation, Management, and Security
6. Chapter 4: Data Preparation 7. Chapter 5: Data Layouts 8. Chapter 6: Data Management 9. Chapter 7: Metadata Management 10. Chapter 8: Data Security 11. Chapter 9: Data Sharing 12. Chapter 10: Data Pipeline Management 13. Section 3 – Tuning, Monitoring, Data Lake Common Scenarios, and Interesting Edge Cases
14. Chapter 11: Monitoring 15. Chapter 12: Tuning, Debugging, and Troubleshooting 16. Chapter 13: Data Analysis 17. Chapter 14: Machine Learning Integration 18. Chapter 15: Architecting Data Lakes for Real-World Scenarios and Edge Cases 19. Other Books You May Enjoy

Chapter 8: Data Security

At AWS, we like to say that security is "job zero," in that security is more important than even priority tasks. Glue has been built from the ground up with that tenet in mind, and that, together with all the security features of AWS services, makes data security an easy – but powerful – area to cover.

The Glue security model relies and builds upon concepts common to all AWS services, such as IAM roles, policies, and S3 encryption. Throughout this chapter, we’ll cover different approaches and configurations to ensure the security of your data lake and data pipelines. This will include dealing with concepts such as encryption (both in transit and at rest), logging, and retention.

In this chapter, we will cover the following topics:

  • Access control
  • Encryption
  • Network
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