Roche's Maxim of Data Transformation - By Example

Explore the powerful concept of Roche's Maxim of Data Transformation through practical examples in this 47-minute conference talk from SQLBits. Delve into the meaning behind the maxim "data should be transformed as far upstream as possible, and as far downstream as necessary" and understand its implications for data management. Learn from Alexander Arvidsson, a Microsoft Data Platform MVP and principal solutions architect, as he demonstrates the application of this simple yet impactful principle. Gain insights into optimizing data transformation processes, improving data quality, and enhancing overall data architecture efficiency. Benefit from Arvidsson's extensive experience in SQL Server, Azure, and Power BI as he shares real-world scenarios and best practices for implementing Roche's Maxim in various data environments.

Roche's Maxim of Data Transformation - By Example