Azure Data Factory
Orchestrate serverless data pipelines at enterprise scale
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.
什麼是 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: ADF is widely used for data integration on Azure data platforms
💰 各地區薪資
| 地區 | 初級 | 中級 | 高級 |
|---|---|---|---|
| USA | $85,000 | $145,000 | $240,000 |
| UK | £62,000 | £105,000 | £175,000 |
| EU | €58,000 | €98,000 | €165,000 |
| CANADA | CA$95,000 | CA$160,000 | CA$270,000 |
🎓 認證
🎯 使用 Azure Data Factory 的職業
⚖ 對比
❓ 常見問題
What's the difference between Copy Activity and Data Flow?
Can I run Data Factory pipelines on-premises?
How do I schedule pipeline runs?
What's the pricing model?
How do I debug failing pipelines?
Is Data Factory HIPAA compliant?
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