Data is the fuel for modern AI, but without the right infrastructure, it turns into chaos: silos, security gaps, and unscalable architectures. In this session, you’ll learn how to build a resilient, AI-ready data platform in Azure that can handle terabytes of data from day one.

Florian will walk you through deploying a fully automated Azure Data Landing Zone using Terraform modules. You’ll see how to seamlessly integrate and consistently provision critical services like Azure Synapse, Data Factory, Databricks, and Data Lake Storage, while Azure Policies enforce security and governance from the start.

A real-world case study from one of Germany’s largest enterprises will demonstrate how this architecture works in practice, including implementation strategies, lessons learned, and proven best practices.

By the end of the session, you’ll have a clear blueprint for building a scalable, secure, and AI-ready data infrastructure in Azure with Terraform as your automation engine.