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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
Author Profile Icon Newton Alex
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

Optimizing and Troubleshooting Data Storage and Data Processing

This is the final chapter of Part 4 of the syllabus. In Chapter 8, Implementing Data Security, you focused on identifying sensitive information and applying various techniques to handle it securely. This includes techniques such as data masking, which hides sensitive data from unauthorized users, and implementing row- and column-level security to control access to specific data rows or columns. You also learned about Role-Based Access Control (RBAC), which assigns permissions based on user roles, and Access Control Lists (ACLs) for managing access to data in Azure Data Lake Storage (ADLS) Gen2. Moreover, you focused on encryption methods for securing data at rest and in motion. These skills will enable you to design and maintain a secure data lake environment, safeguarding customer privacy effectively.

In Chapter 9, Monitoring Data Storage and Data Processing, you learned about Azure Monitor and Log Analytics and how...

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