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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
Author Profile Icon Giacinto Palmieri
Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
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Mr. Surendra Mettapalli
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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

Managing Sensitive Information

Any organization that handles sensitive information is usually bound by its country or state laws and other compliance regulations to keep the data secure and confidential. Aside from legal obligations, keeping sensitive data protected is very important for the reputation of an organization and helps to reduce the risk of identity theft for its customers.

Note

This section primarily focuses on the Manage sensitive information concept of the DP-203: Data Engineering on Microsoft Azure exam.

Azure security standards recommend the following techniques to keep sensitive data safe:

  • Identifying and classifying sensitive data: The very first step is to analyze and identify all the sensitive data in your data stores. Some might be straightforward, such as SQL tables or structured files, and some might be not so straightforward, such as PII data being logged in log files.

    Azure also provides tools that can help with the identification and classification...

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