Transcribed
Microsoft Fabric Real-Time Intelligence - Simply Explained
Jul 23, 2026 ·
19m 27s
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Microsoft Fabric Real-Time Intelligence - Simply Explained
Description
Many teams confuse real-time intelligence with faster Power BI refreshes and either overbuild or miss critical signals. This episode explains for data and analytics professionals what Microsoft Fabric Real-Time Intelligence...
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Many teams confuse real-time intelligence with faster Power BI refreshes and either overbuild or miss critical signals. This episode explains for data and analytics professionals what Microsoft Fabric Real-Time Intelligence really is, how its four building blocks work, and when streaming is actually worth it.
In this episode
Key takeaways
Worth quoting
“The difference between fast and real-time is about the relationship between data and action, not speed.” – Mirko Peters (02:07)
“Instead of data flowing into a database and waiting for someone to ask a question, data flows into a system that's already listening, watching and ready to respond.” – Mirko Peters (02:49)
Explore more on M365.FM
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
show less
In this episode
- 00:00 – Real-time is not just faster dashboards
- 00:50 – The shift from batch to streaming
- 03:01 – What is Real-Time Intelligence?
- 04:57 – Eventstreams: getting data in
- 07:40 – Eventhouse: storing and querying
- 10:01 – Real-time dashboards
- 11:58 – Activator: action without code
- 14:22 – When you need it and how it connects
Key takeaways
- Real-time intelligence is about shortening the time between signal and action, not about refreshing reports faster.
- Its four building blocks are eventstreams for ingestion, Eventhouse for storage and KQL queries, real-time dashboards for live views and Activator for automated action.
- Use real-time only when action must happen within seconds and combine it with OneLake and batch analytics for historical, cost-efficient analysis.
Worth quoting
“The difference between fast and real-time is about the relationship between data and action, not speed.” – Mirko Peters (02:07)
“Instead of data flowing into a database and waiting for someone to ask a question, data flows into a system that's already listening, watching and ready to respond.” – Mirko Peters (02:49)
Explore more on M365.FM
- Episode page: the full episode with chapters, quotes and an FAQ on Real-Time Intelligence
- Microsoft Fabric – the platform that hosts Real-Time Intelligence alongside OneLake, shared security and Power BI
- Fabric Data Activator – the building block that watches streaming data and triggers alerts, flows or pipelines without code
- Kusto Query Language (KQL) – the query language of Eventhouse, also used to build real-time dashboard tiles
- Related episode: Your Machine Data Never Becomes a Decision. Here's the Missing Pipeline.
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
Information
| Author | Mirko Peters M365, Azure & AI |
| Organization | m365 FM |
| Website | www.m365.fm |
| Tags |
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