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Azure Data Engineer Associate Certification Guide

You're reading from  Azure Data Engineer Associate Certification Guide

Product type Book
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Pages 574 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Newton Alex Newton Alex
Profile icon Newton Alex

Table of Contents (23) Chapters

Preface Part 1: Azure Basics
Chapter 1: Introducing Azure Basics Part 2: Data Storage
Chapter 2: Designing a Data Storage Structure Chapter 3: Designing a Partition Strategy Chapter 4: Designing the Serving Layer Chapter 5: Implementing Physical Data Storage Structures Chapter 6: Implementing Logical Data Structures Chapter 7: Implementing the Serving Layer Part 3: Design and Develop Data Processing (25-30%)
Chapter 8: Ingesting and Transforming Data Chapter 9: Designing and Developing a Batch Processing Solution Chapter 10: Designing and Developing a Stream Processing Solution Chapter 11: Managing Batches and Pipelines Part 4: Design and Implement Data Security (10-15%)
Chapter 12: Designing Security for Data Policies and Standards Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
Chapter 13: Monitoring Data Storage and Data Processing Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing Part 6: Practice Exercises
Chapter 15: Sample Questions with Solutions Other Books You May Enjoy

Designing and implementing a data retention policy

The last requirement for IAC was to securely delete the data so that it doesn't get into the hands of any malicious users.

Older data should be safely deleted after a period of time.

This section on data retention and the next section on data purging explain some of the techniques that can be used to achieve regular and secure cleanup of data.

In Chapter 2, Designing a Data Storage Structure, under the Designing a data archiving solution section, we learned about data life cycle management. We can use the same service to design our data retention policies too. The data life cycle management screen has options to either move data to Cool or Archive tiers or delete the blob itself. Let's look at a screenshot from Chapter 2, Designing a Data Storage Structure, again for convenience:

Figure 12.17 – Configuring data life cycle management

Based on our requirements, we can configure entire...

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