Anna Hoffman, the Principal Group Product Manager at Microsoft’s SQL engineering team and host of Data Exposed, dives into the exciting preview of SQL 2025 within Microsoft Fabric. She reveals how keeping data close to analytics enhances efficiency and discusses the transformative role of AI in developing new applications. The conversation covers simplifying data integration for developers, intuitive AI tools improving user experience, and the shift from legacy systems to modern solutions, all driven by customer insights and evolving technologies.
The introduction of SQL Database within Microsoft Fabric transforms it into a comprehensive data platform, integrating operational and analytical capabilities.
SQL Database in Fabric enhances user experience by embedding AI features like Copilot, simplifying database management and fostering innovative applications.
Deep dives
Introduction of SQL Database in Fabric
The episode highlights the introduction of SQL Database within the Microsoft Fabric platform, an initiative aimed at transforming Fabric from solely an analytics tool into a comprehensive data platform. This evolution incorporates both operational and transactional capabilities alongside analytics, addressing customer demands for more integrated solutions. The development team focuses on simplifying the process of integrating databases with analytics scenarios, allowing for seamless metadata-driven frameworks and enhancing user experience. Key principles guiding this development include simplicity, autonomy, security, and AI optimization.
Focus on Greenfield Development
The primary focus of SQL Database in Fabric is on greenfield projects, allowing new applications to be built without the complexities of traditional database management. Long-term studies predict a surge in applications and, consequently, databases, prompting the need for easier management solutions. By utilizing Azure SQL Database's existing architecture and implementing automated functionalities like serverless options and automatic indexing, the platform aims to reduce the burden on developers and DBAs. While migration scenarios are considered, the emphasis remains on facilitating new developments tailored for the upcoming AI wave.
Embracing Experimentation and Governance
A significant aspect of SQL Database in Fabric is its facilitation of experimentation in a governed environment, allowing data professionals to explore innovative approaches while maintaining security controls. The framework positions itself as a development playground where users can safely experiment with machine learning models and analytics without the constraints of traditional governance. By leveraging existing security measures and integrating Microsoft Purview, the platform enhances unified governance, making it easier for developers to manage data while ensuring compliance. This approach encourages creativity while ensuring that the infrastructure remains secure and manageable.
Integration with AI and Enhanced User Experience
The discussion also delves into how SQL Database in Fabric is set to enhance user experience by embedding AI capabilities within the platform. Features such as the Copilot experience assist users in querying and managing their databases through smart suggestions and context-aware completions. Users can interact with AI tools seamlessly, allowing for a more intuitive approach to database design and management. As the platform evolves, the integration of AI not only simplifies conventional database tasks but also opens avenues for innovative applications, positioning SQL Database in Fabric at the forefront of modern data management.
What about SQL Server in Microsoft Fabric? Richard chats with Anna Hoffman about the preview release of SQL 2025 in Microsoft Fabric and the power of having your data store where you are doing your analytics and machine learning! Anna talks about new applications being developed using AI technologies like large language models and that often those applications need a data store - so why not keep it with the application in a configuration ideally suited for that work? The conversation digs into the relationship between existing SQL data stores and Fabric, how interconnections can happen, and perhaps a future of motion between them - but for now, it's a preview, so take a look!