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Microsoft Fabric Updates Blog

  1. 更新
  2. Data Lake

New in OneLake: Access your Delta Lake tables as Iceberg automatically (Preview)

Effortlessly read Delta Lake tables using Apache Iceberg readers Microsoft Fabric is a unified, SaaS data and analytics platform designed for the era of AI. All workloads in Microsoft Fabric use Delta Lake as the standard, open-source table format. With Microsoft OneLake, Fabric’s unified SaaS data lake, customers can unify their data estate across multiple … Continue reading “New in OneLake: Access your Delta Lake tables as Iceberg automatically (Preview)”

Shortcut cache and on-prem gateway support (Generally Available)

Shortcut cache and on-prem gateway support are now generally available (GA) Shortcut cache Shortcuts in OneLake allow you to quickly and easily source data from external cloud providers and use it across all Fabric workloads such as Power BI reports, SQL, Spark and Kusto.  However, each time these workloads read data from cross-cloud sources, the … Continue reading “Shortcut cache and on-prem gateway support (Generally Available)”

Manage connections for shortcuts

Shortcuts in OneLake provide a quick and easy way to make your data available in Fabric without having to copy it.  Simply create a new shortcut and your data is instantly available to all Fabric workloads. When you first create a new shortcut, you also set up a shared cloud connection. These are the same connections … Continue reading “Manage connections for shortcuts”

Use Service Principals to create shortcuts to ADLS Gen2 storage accounts with trusted access

You now have the capability with service principals to create shortcuts to Azure Data Lake Storage (ADLS) Gen2 storage accounts that have firewall enabled.  Previously, the creation of ADLS Gen2 shortcuts by service principals was restricted when firewall settings were active. However, with the latest changes, service principals will be able to navigate these restrictions … Continue reading “Use Service Principals to create shortcuts to ADLS Gen2 storage accounts with trusted access”

Playbook for metadata driven Lakehouse implementation in Microsoft Fabric

  • Headshot of article author 4月 2, 2025 作者： RK Iyer 105,897 點閱數

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”