Today, we’re going to talk about combining Stream Analytics with Azure Machine Learning Studio within Power BI. If you haven’t read the earlier posts in this series, Introduction, Getting Started with R Scripts, Clustering, Time Series Decomposition, Forecasting, Correlations, Custom R Visuals, R Scripts in Query Editor, Python, Azure Machine Learning Studio and Stream Analytics, they may provide some useful context. You can find the files from this post in our GitHub Repository. Let’s move on to the core of this post, Stream Analytics.
This post is going to build directly on what we created in the two previous posts, Azure Machine Learning Studio and Stream Analytics. As such, we recommend that you read them before proceeding.
Read on for the demo.