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Azure Data and AI Architect Handbook

You're reading from  Azure Data and AI Architect Handbook

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781803234861
Pages 284 pages
Edition 1st Edition
Languages
Authors (2):
Olivier Mertens Olivier Mertens
Profile icon Olivier Mertens
Breght Van Baelen Breght Van Baelen
Profile icon Breght Van Baelen
View More author details

Table of Contents (18) Chapters

Preface Part 1: Introduction to Azure Data Architect
Chapter 1: Introduction to Data Architectures Chapter 2: Preparing for Cloud Adoption Part 2: Data Engineering on Azure
Chapter 3: Ingesting Data into the Cloud Chapter 4: Transforming Data on Azure Chapter 5: Storing Data for Consumption Part 3: Data Warehousing and Analytics
Chapter 6: Data Warehousing Chapter 7: The Semantic Layer Chapter 8: Visualizing Data Using Power BI Chapter 9: Advanced Analytics Using AI Part 4: Data Security, Governance, and Compliance
Chapter 10: Enterprise-Level Data Governance and Compliance Chapter 11: Introduction to Data Security Index Other Books You May Enjoy

Data protection

The core component in data protection, apart from discovery and classification covered in the last chapter, is data encryption. This can be done depending on the state of the data, as seen in Figure 11.1.

Figure 11.1 – Data is either at rest, in transit, or in use

Figure 11.1 – Data is either at rest, in transit, or in use

Data is either at rest (inside the database or storage), in transit (when moving the data from one place to another), or in use. While the data is at rest or in transit, the data should be encrypted to maximize security.

Encryption at rest

The first layer of protection is provided by Azure automatically, by encrypting data at rest using one of the strongest block ciphers in the world, 256-bit Advanced Encryption Standard (AES) encryption.

The key for this server-side encryption (SSE) can be managed either by the platform (Microsoft-managed key) or by the organization (customer-managed key).

A second layer of data encryption can be added for SQL databases: transparent...

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