Summary
In this chapter, we talked about requirements engineering and the importance of asking the right questions. The answers, once engineered in a structured approach, will be vital to deciding on the building blocks and tools that will be used to create our modern data warehouse.
We built a generic reference architecture for a modern data warehouse and examined the building blocks that form this approach. We also talked about their major functionalities.
We then learned about industry models for acceleration purposes and how they can help you kickstart your project.
Finally, we explored three suggestions for sizes and mapped different Azure data services to them. Additionally, you learned about the assisting services that will complete your architecture. And don't get me wrong, there are even more to discover.
What I want to express here is that there are many ways to tackle challenges in a modern cloud-based environment and that, as we mentioned previously, there...
