Johan Ludvig Brattås

This full-day hands-on workshop teaches you to design, deploy, and operate a robust Microsoft Fabric lakehouse. Learn to avoid architectural pitfalls with solid planning, governance, and cost optimization. Build repeatable infrastructure using Terraform, integrate with Git, set up CI/CD pipelines, and configure batch/streaming ingestion. We wrap up with an “Ask Me Anything” Q&A, and you’ll leave with production-ready templates, blueprints, and playbooks.

Event-driven architecture (EDA) is a design pattern in which the flow of data through the layers of the data platform (such as ETL pipelines) is determined by events such as user actions, sensor outputs, or messages from other programs. Event-driven architecture can enable real-time data processing and decision-making by reacting to events as they occur, facilitating timely insights and actions – which is the domain of Real-Time Intelligence in Fabric. But it can also be applied to a more batch-oriented platform such as the Lakehouse or Warehouse, where the flow of data is orchestrated by the events instead of the traditional fixed schedule.

Data Products are not just a part of the data mesh paradigm, even if this is the first place many hear about the concept. But what exactly IS a data product? Join this session to learn more.