You're reading from Data Engineering with AWS Learn how to design and build cloud-based data transformation pipelines using AWS

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781800560413

Length 482 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Data Analysis

Author (1):

Gareth Eagar

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Table of Contents (19) Chapters

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. Chapter 1: An Introduction to Data Engineering FREE CHAPTER

3. Chapter 2: Data Management Architectures for Analytics

4. Chapter 3: The AWS Data Engineer's Toolkit

5. Chapter 4: Data Cataloging, Security, and Governance

6. Section 2: Architecting and Implementing Data Lakes and Data Lake Houses

7. Chapter 5: Architecting Data Engineering Pipelines

8. Chapter 6: Ingesting Batch and Streaming Data

9. Chapter 7: Transforming Data to Optimize for Analytics

10. Chapter 8: Identifying and Enabling Data Consumers

11. Chapter 9: Loading Data into a Data Mart

12. Chapter 10: Orchestrating the Data Pipeline

13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

14. Chapter 11: Ad Hoc Queries with Amazon Athena

15. Chapter 12: Visualizing Data with Amazon QuickSight

16. Chapter 13: Enabling Artificial Intelligence and Machine Learning

17. Chapter 14: Wrapping Up the First Part of Your Learning Journey

18. Other Books You May Enjoy

AWS services for data encryption and security monitoring

Previously, we discussed common data protection concepts, such as data encryption. Now, we will look at some of the AWS services that can be used to help protect and secure our data.

AWS Key Management Service (KMS)

AWS KMS simplifies the process of creating and managing security keys for encrypting and decrypting data in AWS. The AWS KMS service is a core service in the AWS ecosystem, enabling users to easily manage data encryption across several AWS services.

There are a large number of AWS services that can work with AWS KMS to enable data encryption, including the following AWS analytical services:

Amazon AppFlow
Amazon Athena
Amazon EMR
Amazon Kinesis Data Streams/Kinesis Firehose/Kinesis Video Streams
Amazon Managed Streaming for Kafka (MSK)
Amazon Managed Workflows for Apache Airflow (MWAA)
Amazon Redshift
Amazon S3
AWS Data Migration Service (DMS)
AWS Glue/Glue DataBrew...

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You're reading from Data Engineering with AWS Learn how to design and build cloud-based data transformation pipelines using AWS

Table of Contents (19) Chapters

AWS services for data encryption and security monitoring

AWS Key Management Service (KMS)

Authors (1)

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You're reading from Data Engineering with AWS Learn how to design and build cloud-based data transformation pipelines using AWS

Table of Contents (19) Chapters

AWS services for data encryption and security monitoring

AWS Key Management Service (KMS)

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Authors (1)

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