In this session, we will explore the capabilities of the Real-Time Intelligence experience in Microsoft Fabric with the use of real-life business-cases from Norway’s second largest bus company. With these business-cases as a foundation we will investigate how to use data from IoT sensors and other data sources to create actionable insights. We will walk through the different business-cases, ranging from exposing real-time data to a driver app, to gathering and reporting on data about the fuel use of busses and the inside passenger temperature, while discussing the varying requirements for each one.

Throughout our journey within the Fabric Real-Time Intelligence capabilities, we will explore how to use Eventstreams to ingest and transform real-time data, and how Eventhouses enable efficient and scalable storage. We will then move to describe some use-cases of Fabric Activator to ensure data quality and look at alerting solutions. To solve the business-cases presented we will discuss how batch data from different sources can be integrated with the real-time data, providing a better and more complete analytical solutions.

Nearing the end, we will describe finalized solutions for some of the presented business-cases and describe how they are used today. We will wrap up our journey with exploring the Real-Time Hub and describe how this can be seen as a OneLake for your real-time objects making it easy as can be to keep control of our assets.