Cross-Cloud Data Movement with Best-in-Class Connectivity in Fabric Data Factory
The Microsoft Fabric Blog introduces major updates to Fabric Data Factory, highlighting new cross-cloud data movement and integration features. Learn from Microsoft’s team how these advancements strengthen enterprise data strategies.
Cross-Cloud Data Movement with Best-in-Class Connectivity in Fabric Data Factory
Microsoft Fabric is reshaping the landscape of AI-ready data estates by consolidating data, governance, and compute on a unified SaaS platform designed for mission-critical analytics. This blog details new enhancements for Fabric Data Factory, targeting seamless, secure, and scalable data integration across clouds and environments.
Key Innovations
Copy Job for Petabyte-Scale Cross-Cloud Data Movement
- Bulk and Incremental Copy: Move massive datasets between Azure, AWS, Snowflake, or on-premises sources with managed execution.
- Change Data Capture (CDC): Keep destinations like SQL Database and Snowflake updated in real time with inserts, updates, and deletes.
- Observability and Error Handling: Built-in tools improve reliability and reduce operational overhead.
- Secure, Network-Compliant Access: Connect to protected data sources behind firewalls using VNet Gateway support.
Enhanced Integration and Automation
- Copy Job Activity in Pipelines: Orchestrate data movement end-to-end directly within Fabric Data Factory pipelines.
- Connection Parameterization: Use variable libraries for smooth CI/CD deployments across dev, test, and production.
- Multiple Schedules and Formats: Run jobs on custom timelines and use new file formats like Iceberg and JSON.
- Database Views as Sources: Enable complex ingestion from database views for both full and incremental loads.
Enterprise-Grade Connectivity
- Over 170 Connectors: Integrate with a rapidly growing set of data sources and destinations.
- VNet and On-Premises Data Gateways: Ensure secure transfer across private networks and cloud environments.
- Dataflow Gen2 and Pipelines Support: Power reliable integrations and advanced workflows for modern data estates.
Resources & Learn More
- Copy Job Activity
- Connection Parameterization via Variable Library
- Fabric Lakehouse Change Data Feeds (CDF)
- CDC Merge into SQL Database & Snowflake
- Copy Assistant in Pipeline Powered by Copy Job
- VNet Gateway Support in Copy Job & Copy Activity
- Incremental Copy Reset
- Iceberg & JSON File Format Support
- Multiple Schedules Support
- Database Views Support
Explore further:
Conclusion
With these latest updates, Fabric Data Factory greatly advances secure, large-scale data integration and movement across clouds and on-premises, empowering organizations to modernize data architecture, accelerate insight, and remain future-ready.
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