Microsoft Fabric Vision & Roadmap
AI Summary
Microsoft FabCon Keynote Summary
1. Welcome and Introduction
- Arun Ulag, Corporate Vice President of Azure Data, welcomes attendees at T-Mobile Arena.
- Overview of the presence of Microsoft engineers, customers, and partners at FabCon.
2. Importance of Data in AI
- Emphasis on the role of quality data in fueling AI applications.
- Mention of Microsoft’s extensive product suite that supports data readiness for AI (Power BI, Azure SQL, Cosmos DB, etc.).
3. Microsoft Fabric Overview
- Introduction of Microsoft Fabric as an end-to-end data platform designed to streamline data processes.
- Fabric serves over 19,000 customers, including many Fortune 500 companies.
- Customers report success in utilizing Fabric’s capabilities for analytics and data integration.
4. Success Stories
- Highlighting case studies from major clients like EY and Epic, demonstrating Fabric’s effectiveness in enhancing data operations.
5. Community and Certification Growth
- Announcement of over 30,000 certifications granted to developers in the past year.
- Invitation to join Fabric user groups for collaborative learning.
6. New Features in Microsoft Fabric
- Introduction of Command Line Interface for Fabric, allowing users familiar with Linux/Windows commands to interact seamlessly.
- Variable Libraries for better parameter management in data engineering tasks.
- Improvements in Data Warehouse performance including faster processing and enhanced user experience.
7. Real-Time Intelligence
- Presentation of Real-Time Intelligence features that process live data efficiently.
- Introduction of Eventhouse and its capabilities for high-volume data handling.
8. AI-enhanced Features
- Unveiling of AI capabilities integrated with data processing, including natural language querying and automated insights generation.
9. Database Features
- Launch of SQL Databases into the Fabric ecosystem for operational data management.
- Emphasis on cross-platform support and integration with existing Azure features.
10. Power BI Enhancements
- Introduction of DirectLake storage mode and its integration into Power BI for real-time analytics without data duplication.
- New features in Power BI Desktop, including DirectLake model creation, advanced visualizations, and AI capabilities integrated into data exploration.
11. Conclusion and Break
- Recap of all major announcements and progress.
- Closing remarks on the importance of AI and data collaboration in modern business environments.