In a world where data streams are constantly flowing, timely processing becomes crucial. This session explores the efficient handling of real-time data using Azure Service Bus and Azure Functions, with a strong emphasis on minimizing processing lag.

Through a mostly demo-based approach, I’ll showcase how to build a responsive data pipeline capable of ingesting, processing, and directing data into an SQL database with minimal delay. Using simulated sales data from Munich’s world-famous beer festival, you’ll experience firsthand the challenges and solutions in real-time data processing. From message handling in Azure Service Bus to using Azure Functions to manage incoming data, this session provides practical insights into creating a scalable and efficient workflow.

Ideal for developers and data engineers, you’ll leave with actionable techniques to streamline your own real-time data processing. Join us to unlock the full potential of real-time data in Azure!