The term Data Lakehouse is still new to many, but the technology has now reached a level of maturity and sophistication that makes it more accessible than ever before. But where do you start with building a Data Lakehouse? How can you achieve the same level of maturity that we have with relational data warehouses? How do you avoid reinventing the wheel?

In this session, we're going to take you on the journey that data platforms have taken over the past few years. We'll look at the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management that they unlock. We'll talk about some real-world problem scenarios and how you can model them within a reference architecture.