Event Hubs / Stream Analytics / AzureML / PowerBI End-to-End demo – Part III (Enhancement and Visualization)

By Alexander Turetsky, Solution Architect This is the final part of a series of blog posts describing a real-time prediction demo. In the previous posts I’ve described data ingestion and preparation process as well as consuming ML model for prediction. In this post I’ll describe how to use Stream Analytics to enhance and filter data… Read more

Event Hubs / Stream Analytics / AzureML / PowerBI End-to-End demo – Part II (Real-time Prediction)

By Alexander Turetsky, Solution Architect In the previous post about a real-time prediction demo I’ve talked about data ingestion and preparation process, technologies used and implementation tips. Now I’m going to describe the “heart” of the demo – the prediction process. I have used the Predictive Maintenance template published by AzureML team. The template describes… Read more

Event Hubs / Stream Analytics / AzureML / PowerBI End-to-End demo – Part I (Data Ingestion and Preparation)

By Alexander Turetsky, Solution Architect For one of the engagements I was working on I’ve created a demo that connects various Azure services into a complete picture showing all parts of an IoT Predictive Maintenance scenario from data ingestion to data insights visualization. The AzureML team has published a Predictive Maintenance template showing techniques used… Read more