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Welcome to our guide on getting started with real-time intelligence in Microsoft Fabric! In this video, Austin Liel walks you through the basics of real-time intelligence, focusing on the latest developments from Microsoft Build centered around Microsoft Fabric. Discover how to harness the power of real-time streams of data and dive into topics such as event streams, KQL databases, real-time dashboards, and more. Plus, learn how to connect with and analyze streaming data to gain valuable insights for your organization. 👍 If you enjoy this video and are interested in formal training on Microsoft Teams, Power BI, Power Apps, Azure, or other Microsoft products you can visit https://prag.works/AUSTIN40 for 40% off On-Demand Learning! -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - Next step on your journey: 👉 On-Demand Learning - Start With The FREE Community Plan: https://prag.works/odl-trial-yt 🔗Pragmatic Works On-Demand Learning Packages: https://pragmaticworks.com/pricing/ 🔗Pragmatic Works Boot Camps: https://pragmaticworks.com/boot-camps/ 🔗Pragmatic Works Hackathons: https://pragmaticworks.com/private-training/hackathons/ 🔗Pragmatic Works Virtual Mentoring: https://pragmaticworks.com/virtual-mentoring/ 🔗Pragmatic Works Enterprise Private Training: https://pragmaticworks.com/private-training/customized-enterprise-training/ 🔗Pragmatic Works Blog: http://blog.pragmaticworks.com/ Let's connect: ✔️Twitter: https://prag.works/yt-twitter ✔️Facebook: https://prag.works/yt-fb ✔️Instagram: https://prag.works/yt-insta ✔️LinkedIn: https://prag.works/yt-li ✔️Discord: https://prag.works/yt-discord Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training@pragmaticworks.com #PragmaticWorks #microsoftfabric #azure 00:00 - Introduction to Real-Time Intelligence 00:33 - Overview of Microsoft Fabric 01:09 - Exploring Real-Time Intelligence Persona 01:41 - Setting Up Event Streams 02:42 - Creating an Event Stream 03:35 - Using Sample Data Sets 04:29 - Loading Data to a Destination 05:28 - Creating an Event House 06:25 - Overview of Event House 07:19 - Loading Data into KQL Database 08:21 - Creating Tables in KQL Database 09:19 - Exploring KQL Database Interface 10:17 - Understanding Real-Time Data Streams 11:09 - Querying Data in KQL Database 12:12 - Writing Queries in KQL 13:39 - Filtering Data with SQL 14:09 - Future of Real-Time Intelligence with KQL 14:38 - Connecting Additional Data Sources 15:07 - Introduction to Real-Time Hub 15:36 - Connecting Azure SQL Database and Event Hubs 16:05 - Conclusion
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