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Microsoft Fabric Updates Blog

  1. Mises à jour
  2. Data Factory

Assessing Your Azure Data Factory for Migration to Fabric Data Factory

As organizations modernize their data integration workflows, moving from Azure Data Factory (ADF) to Fabric Data Factory is an important milestone. Before starting the migration, it’s crucial to determine which pipelines and activities are ready to move, which require modifications, and which are not yet supported in Fabric. The built-in migration assessment tool in ADF … Continue reading “Assessing Your Azure Data Factory for Migration to Fabric Data Factory”

The Evolution of SQL Server Integration Services (SSIS): SSIS 2025 (Generally Available)

SQL Server Integration Services (SSIS) has been a cornerstone of enterprise data integration since its introduction, enabling organizations to extract, transform, and load (ETL) data across diverse systems. Over many years, SSIS has evolved to meet the growing demands of hybrid and cloud-first architecture. The release of SSIS 2025, announced as generally available at Microsoft … Continue reading “The Evolution of SQL Server Integration Services (SSIS): SSIS 2025 (Generally Available)”

Run Notebooks in Pipelines with Service Principal or Workspace Identity

  • Headshot of article author décembre 4, 2025 par Connie Xu 24 510 Vues

Update: Support for using Workspace Identity (WI) with the Notebook activity in Pipelines is currently rolling out. There was a deployment delay in this feature, but we expect this to be fully available by the end of January. The setup guidance below will apply once support is enabled in your environment. Notebook activity in Microsoft … Continue reading “Run Notebooks in Pipelines with Service Principal or Workspace Identity”

Simplifying Data Ingestion with Copy job – Replicate data from Dataverse through Fabric to multiple destinations

  • Headshot of article author décembre 1, 2025 par Ye Xu 20 854 Vues

Copy job is the recommended approach in Microsoft Fabric Data Factory for moving data from any sources to any destinations in a simplified and efficient way—whether you’re transferring data across clouds, from on-premises systems, or between services. With native support for multiple delivery patterns, including bulk copy, incremental copy, and change data capture (CDC) replication, … Continue reading “Simplifying Data Ingestion with Copy job – Replicate data from Dataverse through Fabric to multiple destinations”