Anomaly Detection is a very powerful pattern and mostly, 70% time used. Azure Stream Analytics is having built-in ML-based Anomaly detection. It is based on the Un-supervised learning model i.e. model does not come with any pre-training, it starts learning with no o…

This article is extend of my previous post “ Real-Time Data Stream Processing in Azure Part: 1 ” on real time analytics. Before I start the core for which you started reading this blog, lets quickly review few basic concepts for Stream Analytics.

There are multiple ways to do real time analytics on Azure, depends on source type and the analytics which we want to perform. This article will introduce the major services in Azure which are involved for real time data solution and at the end will compare all to kno…