Скачать или смотреть 12. Data Factory Session 12 | Incremental Load Design Patterns in ADF | Watermark vs Tumbling vs CDC

Welcome to Session 12 of the Azure Data Factory Beginner Course 🚀

Azure Data Factory Beginner Playlist:
Azure Data Factory – Beginner (From Scratch)

In this session, you will learn Incremental Load Design Patterns in Azure Data Factory (ADF) that are widely used in real-world and production-grade data engineering projects.

Incremental load is mandatory in modern data pipelines to handle large data volumes efficiently. This session explains the most common incremental load patterns and helps you understand when and why to use each pattern with practical and interview-focused guidance.

Topics Covered in This Video:
What is Incremental Load in Azure Data Factory
Why incremental load is mandatory in real projects
Problems with full load approach
Common incremental load challenges
How incremental load recovers from failures
Watermark-based incremental load pattern
How watermark pattern works internally
Tumbling Window based incremental load pattern
When to use Tumbling Window pattern
CDC (Change Data Capture) based incremental load
When to use CDC pattern
Comparison of Watermark vs Tumbling Window vs CDC
Which incremental load pattern should you use
Real project mapping examples
Interview-ready decision-making tips

Real Project Scenarios Explained:
Daily sales data load → Watermark pattern
Time-based / frequent ingestion → Tumbling Window pattern
ERP / CRM systems with deletes → CDC pattern

Why Incremental Load Design Patterns are important:
Improves pipeline performance
Reduces processing cost
Avoids duplicate data
Handles late-arriving data
Ensures reliability and scalability
Essential for production pipelines

Assignment and Self-Check:
Attempt the MCQs shown in this session.
Passing score: 4 out of 5.
If your score is below 4, please rewatch this session once again.

Comment your MCQ score like:
4/5, 5/5

What’s Next?
Watermark-Based Incremental Load – End-to-End Pipeline Demo
Configuration and Best Practices

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Cloudpandith Training Institute – Azure Data Engineering
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Learn Azure Data Engineering from real-time industry experts
with strong focus on practical implementation and live project scenarios.

Course Details and Syllabus:
https://www.cloudpandith.com

Azure Data Engineer Demo:
Every Saturday | 10:00 AM IST

WhatsApp for Course Details:
https://wa.me/918904424822

Book 1-to-1 Discussion with Trainer:
https://meetpro.club/mallaiahsomula

About the Trainer:
https://goo.gl/maps/9jGub6NfLH2jmVeGA

Contact:
8904424822

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Free Practice Resources (Optional)
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MCQs are shown in the video.
If you want MCQs in document format (FREE), you may optionally join:

WhatsApp Group:
https://chat.whatsapp.com/Gow6Qxi77FN...

Telegram Group:
https://t.me/+PGnxzlaFpvo1MWJl

Joining groups is optional. Everything required is already covered in the video.