How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions? Are we designing for just speed and batch layers or do we what more from our platforms, and who says these patterns must be delivered exclusively? Let’s disrupt the theory and consider the practical application of all things. Can we now utilise Azure technology to build architectures that cater for lambda, kappa and delta concepts in a complete stack of services? And should we be considering a solution that offers all these principals in a nirvana of data insight perfection? In this session we’ll explore the answer to all these questions and more in a thought provoking, argument generating look at the challenges every data platform architect faces.