IoT, Online Gaming, Microservices, Event sourcing: environment and architectures that can generate a steadily stream of data that will for sure be stored, queried and analyzed at some point. Azure SQL can easily manage the amount of generated data, working together with tools like Event Hubs, Stream Analytics, Azure Functions or Azure Databricks, to allow developers to create powerful stream processing solution. What about, for example, creating a solution to update in real-time the most played songs of a music streaming service? Or keeping track of player status in an MMPORG game? Or looking after connected vehicles? In this session we'll see how Azure SQL can help in the creation of solution that needs streaming - and thus real-time or near real-time - capabilities.