4.01 Introduction to Real-Time Analytics in Microsoft Fabric

   • Microsoft Fabric For Beginners  
In this tutorial, I explain an overview of Microsoft Fabric streaming services. I explain different components of the Real-Time Analytics workload. I also demonstrate the usage of event streams to ingest the Azure Event Hubs data into the Lakehouse and KQL databases. Furthermore, I demonstrate how to query data in KQL databases using Kusto and SQL languages. Finally, I explain how to ingest into KQL database using direct ingestion tools.

Chapters:
00:00- Introduction
00:20- Preview
01:55- Overview of streaming services in Fabric
03:22- What's KQL database?
06:09- What are the event streams?
08:39- Demo -Real-Time analytics menu walkthrough
09:16- Creating KQL database
09:44- Creating event stream to ingest sample data
16:00- Exploring KQL database
18:15- Ingesting from Event Hubs
23:27- Adding preprocessing transformations
26:16- Direct ingestion from Event Hubs into KQL
30:15- Using OneLake shortcuts to Lakehouse

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Official Documentation:
https://learn.microsoft.com/en-us/fab...
https://learn.microsoft.com/en-us/fab...
https://spark.apache.org/docs/latest/...
https://learn.microsoft.com/en-us/azu...
https://learn.microsoft.com/en-us/fab...
https://learn.microsoft.com/en-us/fab...
Hashtags:
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