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| 1 | +# Microsoft Fabric Community Conference (Las Vegas 2025) - Overview |
| 2 | + |
| 3 | +Costa Rica |
| 4 | + |
| 5 | +[](https://github.com) |
| 6 | +[](https://github.com/) |
| 7 | +[brown9804](https://github.com/brown9804) |
| 8 | + |
| 9 | +Last updated: 2025-04-07 |
| 10 | + |
| 11 | +---------- |
| 12 | + |
| 13 | +> `Las Vegas from March 31 to April 2`. Showcased significant advancements and innovations across different domains of the Fabric platform. |
| 14 | +
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| 15 | + |
| 16 | +<details> |
| 17 | +<summary><b>List of References</b> (Click to expand)</summary> |
| 18 | + |
| 19 | +</details> |
| 20 | + |
| 21 | +## Overview |
| 22 | + |
| 23 | +| **Category** | **Details** | |
| 24 | +|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
| 25 | +| **Platform Enhancements** | - **OneLake Security (Private Preview)**: Seamless security integration across Spark, SQL Endpoint, and Power BI in Direct Lake mode.<br/> - **Command Line Interface (CLI)**: Execute commands across Fabric using terminal prompts or pre-written scripts.<br/> - **Variable Library**: Efficiently manage variables at a workspace level. | |
| 26 | +| **Data Integration** | **Database Mirroring**: Supports sources behind firewalls such as Azure SQL Database and Snowflake, with Azure SQL MI coming soon. On-prem SQL Server, Oracle, and Dataverse support is also on the way. | |
| 27 | +| **Data Engineering & Data Science** | - **Fabric Data Agents (Former AI Skills)**: Integrate Data Agents with Azure AI Foundry.<br/> - **Copilot & AI Features**: Available with all paid-SKU, starting with F2.<br/> - **Autoscale Billing for Spark**: Serverless, pay-as-you-go billing, no longer consuming your Fabric capacity when enabled.<br/> - **Copilot Improvements**: Copilot is now pre-installed, supports data-specific queries, and tracks historic interactions.<br/> - **AI Functions**: Apply LLM models for summarization, text generation, classification, sentiment analysis, and translation.<br/> - **Row-Level & Column-Level Security in Spark**. | |
| 28 | +| **Data Warehouse** | - **AI Functions**: Bring AI features to Data Warehouse, similar to Data Engineering & Data Science.<br/> - **User-Defined Functions (UDFs)**: Write custom Python functions and execute them directly through T-SQL.<br/> - **Migration Tool**: Public preview for migrating Azure Synapse Analytics warehouses to Fabric. | |
| 29 | +| **Real-Time Intelligence** | **Streaming & Event Connectors**: New integrations for MQTT, Solace, ADX, Real-Time Weather, and Azure Event Grid. | |
| 30 | +| **Power BI** | - **Direct Lake Semantic Models**: Create models directly in Power BI Desktop, and use data from multiple OneLake sources.<br/> - **Datapoint Annotations**: Add descriptive text to specific data points directly in PowerPoint presentations.<br/> - **Copilot Improvements**: Ask data questions from your model.<br/> - **Notebook Tools**: Quickly analyze semantic models with pre-built notebooks for best practices and memory optimization. | |
| 31 | +| **Additional Highlights** | - **Workshops and Sessions**: Over 200 expert-led sessions covering AI, databases, analytics, business intelligence, and more.<br/> - **Hands-On Workshops**: Pre- and post-conference workshops offering immersive, practical learning experiences.<br/> - **Keynote and Corenote Sessions**: Insights into the latest developments and roadmaps for Microsoft Fabric.<br/> - **Networking Opportunities**: Dedicated networking spaces like Ask the Experts and the Community Lounge. | |
| 32 | + |
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| 34 | + |
| 35 | +<div align="center"> |
| 36 | + <h3 style="color: #4CAF50;">Total Visitors</h3> |
| 37 | + <img src="https://profile-counter.glitch.me/brown9804/count.svg" alt="Visitor Count" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/> |
| 38 | +</div> |
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