Azure Data Factory Architecture Masterclass | WHAT | WHY | WHEN | HOW
In this video, we deep dive into Azure Data Factory (ADF) and understand how it works in real-world Data Engineering projects.
We cover:
🔹 What is Azure Data Factory
🔹 Why companies use ADF
🔹 When to use ADF (and when NOT to)
🔹 Pipelines & Activities
🔹 Datasets & Linked Services
🔹 Integration Runtime Explained
🔹 Self-Hosted IR vs Auto Resolve IR
🔹 Data Flows & Power Query
🔹 Monitoring & Triggers
🔹 Git Integration & ARM Templates
🔹 Alternatives like Databricks Workflows, Synapse & Airflow
🔹 How ADF helps implement Medallion Architecture
This video is designed for:
✔ Beginners in Data Engineering
✔ Azure Data Engineer Aspirants
✔ ETL/ELT Developers
✔ Anyone preparing for Azure Data Engineer interviews
✔ Professionals learning Cloud Data Engineering
🚀 Upcoming Videos:
REST API to ADLS using ADF
Medallion Architecture Implementation
Parameters & Variables
Incremental Loads
Dynamic Pipelines
ADF Best Practices
Excalidraw Diagram - https://excalidraw.com/#json=VYOKgSXm...
Linkedin - / chirag-sachdeva-data-engineer
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