Fabric Real Time Analytics 1 of 3
In the last few weeks I have been familiarising myself with the Microsoft Fabric Real Time Analytics functionality. I am mainly interested in how to weave in python as the "intelligence" component. I created a python notebook that listens to a public API then pushes a formatted Jason to the Fabric Event Streaming. The information is captured in a KQL database and reported using the web PowerBI and a desktop PowerBI. In the last segment I discuss using the fabric spark python notebooks to query the KQL table and send artifact to PowerBI
Segment 1: Introduction [well ppt] - [Fabric Real Time Analytics 1 of 3]( • Fabric Real Time Analytics 1 of 3 )
Segment 2: Demo from API to KQL through Event Steaming to PowerBI - [Fabric Real Time Analytics 2 of 3] ( • Fabric Real Time Analytics 2 of 3 )
Segment 3: using python in Fabric to query the KQL and generate an artefact which underpins a PowerBI report - [Fabric Real Time Analytics 3 of 3] ( • Fabric Real Time Analytics 3 of 3 )
Please do joine me at linkedin: / elikling
Links
Microsoft Blog:
Fabric Change the Game: [Real – time Analytics - Fabric Change the Game: Real](https://blog.fabric.microsoft.com/en-...)
N2YO - [api](https://www.n2yo.com/api/)
Microsoft github: [fabric samples - fabric-samples/docs-samples/data-science/data-science-tutorial](https://github.com/microsoft/fabric-s...)