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Azure Data Factory

Orchestrate serverless data pipelines at enterprise scale

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Azure Data Factory is a fully managed ETL/orchestration service for building data pipelines. Mid-level proficiency commands $130-160k, with senior architects earning $220-280k in enterprise environments.

Azure Data Factory āĻ•ā§€

Azure Data Factory is Microsoft's fully managed, serverless data integration service that allows you to build, schedule, and monitor data pipelines at enterprise scale. It handles Extract, Transform, Load (ETL) workflows across cloud and on-premises data sources without requiring infrastructure management. ADF integrates natively with Azure services and supports hybrid scenarios through Self-hosted Integration Runtime. - Enterprise demand: Most Fortune 500 companies use ADF for their data lakehouse strategies

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Azure Data Factory UICopy ActivityData FlowMapping Data FlowPipelines & TriggersAzure Integration RuntimeLinked ServicesDatasetsAzure MonitorGit Integration

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đŸ‡Ŧ🇧UKÂŖ62kÂŖ105kÂŖ175k
đŸ‡ĒđŸ‡ēEUâ‚Ŧ58kâ‚Ŧ98kâ‚Ŧ165k
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Azure Data Engineer Associate (DP-203)
Azure Solutions Architect Expert

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Privacy Engineer

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â–ļWhat's the difference between Copy Activity and Data Flow?
Copy Activity is for simple data movement; Data Flow handles complex transformations with visual designer.
â–ļCan I run Data Factory pipelines on-premises?
Yes, use Azure Integration Runtime (Self-hosted) to connect on-prem resources.
â–ļHow do I schedule pipeline runs?
Use trigger types: scheduled (time-based), event-based (storage events), or tumbling window (recurring intervals).
â–ļWhat's the pricing model?
Pay per pipeline run, data movement units, and integration runtime usage; no minimum commitments.
â–ļHow do I debug failing pipelines?
Use Pipeline Debug mode in UI, check Activity Run details, and review Azure Monitor logs.
â–ļIs Data Factory HIPAA compliant?
Yes, if deployed in compliant Azure regions with appropriate security controls.

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