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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide Ace the DP-203 exam with advanced data engineering skills

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805124689
Length 548 pages
Edition 2nd Edition
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Authors (3):
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Newton Alex Newton Alex
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Newton Alex
Giacinto Palmieri Giacinto Palmieri
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Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
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Mr. Surendra Mettapalli
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Azure Basics FREE CHAPTER
2. Chapter 1: Introducing Azure Basics 3. Part 2: Data Storage
4. Chapter 2: Implementing a Partition Strategy 5. Chapter 3: Designing and Implementing the Data Exploration Layer 6. Part 3:Data Processing
7. Chapter 4: Ingesting and Transforming Data 8. Chapter 5: Developing a Batch Processing Solution 9. Chapter 6: Developing a Stream Processing Solution 10. Chapter 7: Managing Batches and Pipelines 11. Part 4:Secure, Monitor, and Optimize Data Storage and Processing
12. Chapter 8: Implementing Data Security 13. Chapter 9: Monitoring Data Storage and Data Processing 14. Chapter 10: Optimizing and Troubleshooting Data Storage and Data Processing 15. Chapter 11: Accessing the Online Practice Resources 16. Other Books You May Enjoy

Implementing Data Masking

Data masking is a technique used in SQL technologies to hide sensitive data in SQL query results from non-privileged users. In a Synapse SQL customer table, for example, credit card info might be masked as XXXX-XXXX-XXXX-1234 rather than displaying the complete number. The data itself is not changed in the tables, but the queries and views modify the data dynamically to mask sensitive information.

Note

This section primarily focuses on the Implement data masking concept of the DP-203: Data Engineering on Microsoft Azure exam.

The data masking feature helps enforce the following two requirements of Imaginary Airport Cabs (IAC):

  • Not everyone should have access to all the data; it should be on a need-to-know basis.
  • Customer privacy must be maintained at all costs.
  • Older data should be safely deleted after a period of time, that is, from the time the data is created or becomes obsolete.

You can easily create a data mask in Azure...

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