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Microsoft Fabric Updates Blog

  1. Aktualisierungen
  2. Jianlei Shen

Announcing Copy Job Activity in Data Factory Pipeline (Generally Available)

This milestone marks a major step forward in unifying and simplifying data movement experiences across Data Factory. With Copy Job Activity, users can now enjoy the simplicity and speed of Copy Job while leveraging the orchestration power and flexibility of Data Factory pipelines. What is the Copy job Activity  Copy Job Activity allows you to … Continue reading “Announcing Copy Job Activity in Data Factory Pipeline (Generally Available)”

Unlocking Seamless Data Integration with the Latest Fabric Data Factory Connector Innovations

In the world of modern analytics, connectivity is everything. Your data ecosystem is only as powerful as your ability to connect to diverse sources, move data securely, and keep it fresh for business insights. That’s why Microsoft Fabric has been doubling down on Data Factory connectors—expanding coverage, improving performance, and enabling new enterprise-grade integration scenarios. … Continue reading “Unlocking Seamless Data Integration with the Latest Fabric Data Factory Connector Innovations”

Best-in-class connectivity and data movement with Data Factory in Fabric

In the fast-evolving data integration landscape, Data Factory continues to enhance the existing connectors to provide high-throughput data ingestion experience with no-code, low-code experience. With a focus on improving connector efficiency and expanding capabilities, recent updates bring significant advancements to a number of connectors. These improvements focus on: Latest innovations 1. Lakehouse connector now supports … Continue reading “Best-in-class connectivity and data movement with Data Factory in Fabric”

Fabric Data Factory now supports writing data in Iceberg format via Azure Data Lake Storage Gen2 Connector in Data pipeline

We’ve made a significant enhancement in Fabric Data Factory: Data pipeline can now write data in Iceberg format via the Azure Data Lake Storage (ADLS) Gen2 connector! This addition provides a powerful new option for users who need to manage and optimize large datasets with a high level of flexibility, reliability, and performance. Iceberg format … Continue reading “Fabric Data Factory now supports writing data in Iceberg format via Azure Data Lake Storage Gen2 Connector in Data pipeline”

Boosting Data Ingestion in Data Factory: Continuous Innovations in Performance Optimization

At Fabric Data Factory, we’re committed to delivering continuous improvements to optimize data ingestion performance and streamline the user experience. Our latest technical innovations enhance performance across various aspects of Data Factory, from handling binary data more effectively to delivering faster data preview and navigation. Here’s a closer look at how these advancements are transforming … Continue reading “Boosting Data Ingestion in Data Factory: Continuous Innovations in Performance Optimization”