Session

Create, Train and Use an AI Model for Streaming Data with Fabric & MLFlow

A Practical Guide with Microsoft Fabric, where we are utilizing MLFlow, KQL and Eventstream to Train our model with Live (mock) Data from a Kafka Endpoint in Azure. Data contain legitimate and phishing records. Then we use the Model on the Stream to separate Legitimate from Fake Data and perform Analysis with Delta Tables and the Fabric Semantic Models. A Streaming Data Analytics Solution with Machine Learning integrated into a unified platform, Microsoft Fabric, where it help us learn the Medallion Architecture Concepts.

https://www.cloudblogger.eu/2024/12/08/how-to-create-an-ai-model-for-streaming-data/

Konstantinos Passadis

Solutions Architect - Microsoft Azure MVP

Athens, Greece

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