Building a Personalized Newsletter with Apache Airflow 3.0 & AWS (Full Tutorial)
Skills:
AI Workflow Automation90%
Learn how to build an automated personalized newsletter system using Apache Airflow 3.0, AWS Bedrock for AI generation, and Amazon SQS for event-driven scheduling. Join Darko and Kenten from Astronomer as they demonstrate how to leverage Airflow's new features including DAG versioning, assets, and backfills.
Explore Open Source @ AWS 👉 https://go.aws/453ciiV
Resources:
Apache Airflow 3 E-book: https://go.aws/45ey8QN
Apache Airflow Documentation: https://go.aws/3IUW4zU
Astronomer Platform: https://go.aws/40StKEj
AWS Bedrock: https://go.aws/4oojf5A
Amazon SQS: https://go.aws/45pXiup
Follow AWS Developers!
📺 Instagram: https://go.aws/45lxLCq...
🆇 X: https://go.aws/4flKw4C
💼 LinkedIn: https://go.aws/3J3d1Z2
👾 Twitch: twitch.tv/aws
Chapters:
00:00 - Introduction
02:24 - What is Apache Airflow?
04:02 - ETL Pipeline Overview
08:55 - Working with Assets in Airflow 3
14:38 - Implementing Gen AI with AWS Bedrock
20:43 - DAG Versioning Feature
24:05 - Event-Driven Scheduling with SQS
27:37 - Backfills in Airflow 3
28:31 - Deploying to Production
30:25 - Use Cases Beyond ETL
#ApacheAirflow #DataEngineering #Python #ETL
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Chapters (10)
Introduction
2:24
What is Apache Airflow?
4:02
ETL Pipeline Overview
8:55
Working with Assets in Airflow 3
14:38
Implementing Gen AI with AWS Bedrock
20:43
DAG Versioning Feature
24:05
Event-Driven Scheduling with SQS
27:37
Backfills in Airflow 3
28:31
Deploying to Production
30:25
Use Cases Beyond ETL
🎓
Tutor Explanation
DeepCamp AI