About this episode
Easily access and unify your data for analytics and AI—no matter where it lives. With OneLake in Microsoft Fabric, you can connect to data across multiple clouds, databases, and formats without duplication. Use the OneLake catalog to quickly find and interact with your data, and let Copilot in Fabric help you transform and analyze it effortlessly. Eliminate barriers to working with your data using Shortcuts to virtualize external sources and Mirroring to keep databases and warehouses in sync—all without ETL. For deeper integration, leverage Data Factory's 180+ connectors to bring in structured, unstructured, and real-time streaming data at scale. Maraki Ketema from the Microsoft Fabric team shows how to combine these methods, ensuring fast, reliable access to quality data for analytics and AI workloads. ? QUICK LINKS: 00:00 - Access data wherever it lives 00:42 - Microsoft Fabric background 01:17 - Manage data with Microsoft Fabric 03:04 - Low latency 03:34 - How Shortcuts work 06:41 - Mirroring 08:10 - Open mirroring 08:40 - Low friction ways to bring data in 09:32 - Data Factory in Microsoft Fabric 10:52 - Build out your data flow 11:49 - Use built-in AI to ask questions of data 12:56 - OneLake catalog 13:36 - Data security & compliance 15:10 - Additional options to bring data in 15:42 - Wrap up ? Link References Watch our show on Real-Time Intelligence at https://aka.ms/MechanicsRTI Check out Open Mirroring at https://aka.ms/FabricOpenMirroring ? Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ? Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics
