To begin with, there are a few data warehouse principlesit is important to bear in mind. Data should be consistent, reliable, secure and understandable to authorized users. The warehouse should also be scalable, have clear definitions and be of good data quality over time. Another key one is the segregation of raw ingestion and transformed business-ready data, thereby making it easier to manage changes. Early thinking of governance and not later should also be taken into account. When it comes to practical context in regards to architecture, governance and long-term data management, resources like those provided by Datalance can come in handy.
