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37. Amazon SNS Introduction | AWS SNS | AWS Data Engineer

Are you a Data Engineer, AWS Engineer, Cloud Developer, or DevOps Professional looking to understand Amazon SNS (Simple Notification Service) from scratch?

In this video, you’ll learn a complete AWS SNS Introduction with real-world use cases designed especially for:

✔ Data Engineers
✔ AWS Developers
✔ Cloud Engineers
✔ DevOps Engineers
✔ Beginners in AWS
✔ Solution Architects

🚀 What You’ll Learn in This AWS SNS Tutorial:

What is Amazon SNS?

How AWS SNS works (Pub/Sub Architecture)

SNS Topics explained

Publishers and Subscribers concept

SNS vs SQS difference

Real-time notifications in AWS

Email, SMS, Lambda & SQS integration

SNS use cases in Data Engineering projects

Event-driven architecture in AWS

How SNS helps in production alerting & monitoring

💡 Real Use Cases for Data Engineers

Trigger AWS Glue job notifications

Send alerts on ETL failures

Notify on S3 file arrival

Production pipeline monitoring

Real-time event streaming alerts

🎯 Why Data Engineers Should Learn AWS SNS?

Amazon SNS is widely used in:

Event-driven data pipelines

Serverless architectures

Cloud-native applications

Monitoring & alerting systems

If you're preparing for:

AWS Interview

AWS Certification

Data Engineering Interview

Cloud Architect role

This video will help you understand SNS clearly with practical explanation.

🔔 Want more videos like this?
👉 Hit Like, 💬 Comment, 🔁 Share, and ✅ Subscribe!

❤️ Support the channel!
🎯 Like Goal: 5000 Likes!
👍 Don’t forget to show love by liking & sharing this video.

📽️ Chapters
⏱️ 0:00 - Introduction

📚 Playlists You’ll Love:

1️⃣ AWS Data Engineer:
🔗 https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q

2️⃣ Azure Data Engineer Playlist:
🔗 https://www.youtube.com/watch?v=MD2ZwGtKE5M&list=PLOlK8ytA0MggTm3pkGSfupleGB1cgcuZt

3️⃣ SQL Playlist:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgibvv5_q4M_iW8nm9rTcszd&si=_E4dj0Bt0fp1VOFU

6️⃣ PySpark Playlist:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH&si=VzbbxDVp08LUYfMu

5️⃣ Azure Data Factory Playlist:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=NfMjbeP2AaA3ct-_

4️⃣ Python Playlist:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgj8xTzgMxClAq09E5066Q7M&si=J023ppQnO9ABvecP
7️⃣ Azure Data Engineer Projects:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgiEIhJmYEaNvaFIJQNCqA68&si=ilBuY8HWxblHiGca

8️⃣ Data Engineer Interview Prep:
🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgid1Sp61K7r-OiXZ5ovwjFM&si=esliJap1sk5rWZCP

📣 Connect with Me:
💬 Join the conversation on Telegram:
🔗 https://t.me/+Cb98j1_fnZs3OTA1

🙏 Hope you enjoyed the video and learned something valuable!
📺 See you in the next one — until then, Bye-Bye 👋

🔖 Tags:
#dataengineer #azuredataengineer #awsdataengineer #pyspark #databricks #adf #azuredatafactory #cloudcomputing #etl #datascience

#MicrosoftFabric
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