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.

Before I start details for Delta Architecture lets recap Lambda Architecture first, then you will be able to appreciate the beauty of delta Architecture. Lambda architecture is a popular technique where records are processed by a batch system and streaming system…

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.  It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. SQL Analytics u…

One of the cool feature of cloud is easy to adapt cutting edge technologies. A modern data warehouse(MDW) lets you bring together all your data at any scale easily, and means you can get insights through analytical dashboards, operational reports or advanced analytics…

Before I start on Azure B2B and Power BI, If your project has a set of requirements to build and create dashboards based on the data you are collecting from different sources, the design whatever you chose is also depend on 2 factor – the volume of data (events + hist…