Microsoft Fabric Data Factory vs. Azure Data Factory: Key Differences Explained

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Microsoft Fabric Data Factory vs Azure Data Factory: Key Differences Explained
Curious about how Microsoft Fabric's Data Factory compares to the original Azure Data Factory? In this video, Aleksi explores the key differences between these two tools and highlights what makes Fabric’s Data Factory unique. Whether you’re a seasoned Azure Data Factory user or new to Fabric, this video will help you navigate the similarities and differences.

What You’ll Learn:
🔷 The updated pipeline development view in Microsoft Fabric
🔷 Differences in activity layout and connections
🔷 How Fabric’s data flow Gen 2 compares to Azure's data flows
🔷 Dynamic content and expressions: What stays the same
🔷 Monitoring pipelines across workspaces

Key Takeaways:
✨ Learn how Fabric’s Data Factory simplifies linked services with connections
✨ Understand why some Azure Data Factory features, like integration runtimes, are evolving in Fabric
✨ Discover how monitoring multiple pipelines is more seamless in Fabric
✨ Get insights into the current limitations and future roadmap for Fabric

Related Hashtags:
#MicrosoftFabric #AzureDataFactory #DataPipelines #DataEngineering #FabricAnalytics #Azure #DataIntegration