This is episode 283 recorded on September 4th, 2024 where John & Jason talk the Microsoft Fabric August 2024 Feature Summary.

  • Copilot and AI
    • Ask Copilot questions against your semantic model (preview)
  • Reporting
    • Visual level format strings (preview)
    • Dynamic per recipient subscriptions (Generally Available)
    • Deliver subscriptions to OneDrive and SharePoint (Generally Available)
    • Updated Save and Upload to OneDrive Flow in Power BI
    • Data limit
    • Visuals, shapes and line enhancements
  • Modeling
    • DAX query view in the web
  • Embedded Analytics
    • Narrative visual with Copilot available in SaaS embed
  • Power BI Other Topics
    • Paginated Reports: Sharing of reports connecting to Get Data data sources made easy
  • Fabric Core
    • Workspace filter improvement to support nested folders
  • OneLake
    • OneLake data access role improvements
  • Synapse
    • Data Warehouse
      • Managing V-Order behavior of Fabric Warehouses
      • Delta Lake Log Publishing Pause and Resume
      • Alter Table add Nullable Column
      • Truncate Table
      • Mirroring Azure SQL Database
      • Mirroring integration with modern get data experience
    • Data Engineering
      • Announcing MsSparkUtils upgrade to NotebookUtils
      • Import Notebook UX improvement
      • Fabric Runtime Lifecycle
    • Data Science
      • Semantic Link Labs is now live!
      • Apply MLFlow tags on ML experiment runs and model versions
      • Track related ML Experiment runs in your Spark Application
      • Monitor ML Experiments from the Monitor Hub
      • Use PREDICT with Fabric AutoML models
      • The AI skill is now in public preview
    • Real-Time Intelligence
      • Fabric Real-Time Hub Teaching Bubble
      • KQL Queryset REST API support
  • Data Factory
    • Dataflow Gen2
      • Certified connector updates
    • Data pipeline
      • New connectors
      • Data Warehouse Connector Supports TLS 1.3
      • Easily Connect to your Azure Resources by Modern Get Data Experience in Data pipeline

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