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Microsoft Fabric Updates Blog

  1. Actualizaciones
  2. Data Factory

Utilize User Data Functions in Data pipelines with the Functions activity (Preview)

User Data Functions are now available in preview within data pipeline’s functions activity! This exciting new feature is designed to significantly enhance your data processing capabilities by allowing you to create and manage custom functions tailored to your specific needs. What is a functions activity? The functions activity in data pipelines is a powerful tool … Continue reading “Utilize User Data Functions in Data pipelines with the Functions activity (Preview)”

AI-powered development with Data Factory Microsoft Fabric

In today’s data-driven landscape, organizations are constantly seeking ways to streamline their data integration processes, enhance productivity, and democratize access to powerful data engineering capabilities with Copilot for Data Factory. At Microsoft, we’re committed to empowering data engineers and analysts with intelligent tools that reduce complexity and accelerate development. We’re excited to share the latest … Continue reading “AI-powered development with Data Factory Microsoft Fabric”

DataOps in Fabric Data Factory

We’ve made several significant updates to our Fabric Data Factory artifacts stories, including Continuous Integration/Continuous Deployment (CI/CD) and APIs support! These updates are designed to automate the integration, testing, and deployment of code changes, ensuring efficient and reliable development. In Fabric Data Factory, we currently support two key features in collaboration with the Application Lifecycle … Continue reading “DataOps in Fabric Data Factory”

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”

Playbook for metadata driven Lakehouse implementation in Microsoft Fabric

  • Headshot of article author abril 2, 2025 por RK Iyer 126.698 Vistas

Co-Author – Gyani Sinha, Abhishek Narain Overview A well-architected lakehouse enables organizations to efficiently manage and process data for analytics, machine learning, and reporting. To achieve governance, scalability, operational excellence, and optimal performance, adopting a structured, metadata-driven approach is crucial for lakehouse implementation. Building on our previous blog, Demystifying Data Ingestion in Fabric, this post … Continue reading “Playbook for metadata driven Lakehouse implementation in Microsoft Fabric”