In this session, we will explore the seamless integration of PostgreSQL data with OneLake to harness the full potential of Fabric mirroring. Discover how to deliver near real-time analytics, data science, machine learning (ML) & artificial intelligence (AI) experiences, and cross-database querying, all while safeguarding your operational databases from the strain of analytical queries.
Learn how to effortlessly stream PostgreSQL data from Azure to Microsoft Fabric with zero ETL processes, leveraging Azure Database for PostgreSQL’s unique AI integration and centralized identity management capabilities. Once your mirrored database data lands in Microsoft Fabric, unlock a world of possibilities:
- Advanced Analytics: Perform complex data analysis and gain actionable insights using powerful analytics tools.
- Machine Learning & AI: Build, train, and deploy ML models directly on your mirrored data to drive intelligent applications and predictive analytics.
- Data Science: Empower data scientists to experiment and innovate with a rich set of data science tools and frameworks.
- Cross-Database Querying: Seamlessly query across multiple databases, combining data from various sources for comprehensive insights.
- Real-Time Dashboards: Create dynamic, real-time dashboards to monitor and visualize key metrics and trends.
Join us to learn how Fabric mirroring can transform your data strategy, enabling you to maximize the value of your PostgreSQL data with Microsoft Fabric’s robust analytics and AI capabilities.
