Soch le tu ek delivery company chalata hai – jaise Swiggy/Zomato.

Restaurant se khana uthaya → pack kiya → raste me check kiya → customer ke ghar deliver kar diya.
Bas yahi kaam Azure Data Factory data ke saath karta hai.

ADF ek Cloud-based ETL tool hai.

E → Extract (data uthana – jaise SQL, Excel, API, Blob storage se)
T → Transform (data ko clean, join, format karna)
L → Load (data ko destination me bhejna – jaise Data Warehouse, Database, Power BI, etc.)

Pipelines
- Jaise ek “workflow” ya “plan of action”.
- Isme multiple steps hote hain (jaise data copy karna, transform karna).
Activities
- Har pipeline ke andar ka step.
- Example: ek activity → SQL se data uthana, doosra activity → usko Blob storage me dalna.
Datasets
- Dataset = "Data ka description".
- Example: ek dataset ho sakta hai "SQL table X", dusra ho sakta hai "CSV file Y".
Linked Services
- Jaise tu courier ke liye delivery boy hire karta hai.
- Linked service = kaunsa source/destination use karna hai (SQL server, Blob storage, etc.).
Integration Runtime (IR)
- Ye “engine” hai jo actually data ko move karta hai.
- Teen types hote hain:
  - Azure IR – cloud ke andar kaam karega.
  - Self-hosted IR – agar data on-premise (apne server pe) hai.
  - SSIS IR – agar tu purana SSIS package chalana chahta hai.

Maan le:

ADF me tu banayega:

Aur bas! Har din data automatically move ho jayega.

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Azure Data Factory (ADF)