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Home/Questions/Cloud/Tools/Describe the process and use cases of implementing Azure Data Factory pipelines.

Describe the process and use cases of implementing Azure Data Factory pipelines.

Cloud/Toolseasy0.4 min readPremium

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77 wordsInterview-ready

Architectural process: Linked Services (connections) → Datasets (data shapes) → Pipelines (orchestration) → Activities (Copy, Transform). Triggers run pipelines; IR executes (Azure, SHIR, SSIS). Use cases: Lift-and-shift ETL, Synapse/Blob ingestion, SaaS API ingestion, lake orchestration. Example: Daily trigger → Copy SQL Server (SHIR) to ADLS → Data Flow cleanse → Copy to Synapse. Scalability: Parameterize for reuse; stage large files. Cost: Activity runs, IR runtime....

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Fractal. The answer also includes follow-up discussion points that interviewers commonly explore.

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