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New Real-Time Intelligence in Microsoft Fabric | Event-based actions and insights 

Microsoft Mechanics
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Quickly spot real-time indicators of issues as they unfold, without the need to poll or manually monitor changes in your data and without writing a single line of code. That’s what the new Real-Time Intelligence service in Microsoft Fabric is all about. It extends Microsoft Fabric to the world of streaming data across your IoT and operational systems. Whether you are a data analyst or business user, you can easily explore high-granularity, high-volume data and spot issues before they impact your business. And as a Data engineer, you can more easily track system level changes across your data estate to manage and improve your pipelines.
Courtney Berg, from the Microsoft Fabric product team, joins Jeremy Chapman to explore all of the updates, explain how Real-Time Intelligence adds to what was possible with Data Activator and Microsoft Synapse Real-Time Analytics and demonstrates how this would work to derive insights and take actions automatically in a scenario with multiple live data streams across different data types.
► QUICK LINKS:
00:00 - Real-Time Intelligence
00:54 - How it’s different
02:07 - Eventstream and Real-Time Hub
03:27 - Synapse Real-Time Analytics
04:03 - See it in action
05:25 - Use Copilot to stay updated
06:28 - Filter data and set up alerts
08:25 - Sophisticated Logic and Data Integration
09:48 - Data integration to Real-Time Hub
11:23 - Workflow automation
12:18 - System events
13:30 - Additional areas of use for Real-Time Intelligence
14:02 - Wrap up
► Link References
Check out Real-Time Intelligence at aka.ms/RealTimeIntelligence
For all things Microsoft Fabric, go to microsoft.com/fabric
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#MicrosoftFabric #Copilot #DataActivator #PowerBI

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12 июл 2024

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Комментарии : 1   
@_radON
@_radON Месяц назад
This seems to be very interesting but at same time the product is becoming more and more complex in a sense that one handling whole fabric platform now needs to be quite good in many domains and area. Product team has specific feature teams to develop and optimize but as an org we need to manage it completely by internal IT team and now the need to sharpen skills in multi domain is must to better utilize this product.
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