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Azure Data Factory

Orchestrate serverless data pipelines at enterprise scale

⬢ NIVÅ 2Tekniskt
Hög
Lönepåverkan
3 månader
Tid att lära sig
Medel
Svårighetsgrad
2
Karriärer
I korthet

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.

Vad är Azure Data Factory

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

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

💰 Lön per region

OmrådeNybörjareMidErfaren
USA$85k$145k$240k
UK£62k£105k£175k
EU€58k€98k€165k
CANADAC$95kC$160kC$270k

🎓 Certifieringar

Azure Data Engineer Associate (DP-203)
Azure Solutions Architect Expert

🎯 Karriärer som använder Azure Data Factory

Mobile Developer
Privacy Engineer

⚖ Jämför med

Apache Airflow

❓ Vanliga frågor

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

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