Many data pipelines still default to processing data nightly, but information is created all the time and should be available much sooner than once a day. While the move to stream processing adds complexity, the tools we have available make it achievable for teams of any size.

This session introduces beginners and experienced tech professionals to techniques for real-time stream processing using Azure. We'll cover popular options to build streaming data pipelines and dive into demos of Azure Databricks and Azure Stream Analytics.