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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
Author Profile Icon Mr. Surendra Mettapalli
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 a Pipeline Alert Strategy

Implementing a pipeline alert strategy in Azure is a proactive approach to detect and address issues, ensuring seamless data flow and minimizing disruptions. Key considerations include knowing the challenges pipelines may face, such as data skew or resource bottlenecks, and implementing alerts to notify specific conditions such as data spillage, excessive resource utilization, or pipeline failures. You can achieve this by leveraging Azure services such as Azure Monitor, ADF, or Azure Synapse Pipelines to set up alerts based on predefined thresholds or custom conditions. Alert types encompass pipeline failures due to connectivity issues or incorrect configurations, monitoring resource consumption to prevent exceedance, identifying data spillage or skew, and tracking pipeline execution time or data delivery delays.

Note

This section primarily focuses on the Implement a pipeline alert strategy concept of the DP-203: Data Engineering on Microsoft...

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