B. Both teams would use the same source of truth for their work
A data lakehouse is designed to unify the data engineering and data analysis architectures by integrating features of both data lakes and data warehouses. One of the key benefits of a data lakehouse is that it provides a common, centralized data repository (the "lake") that serves as a single source of truth for data storage and analysis. This allows both data engineering and data analysis teams to work with the same consistent data sets, reducing discrepancies and ensuring that the reports generated by both teams are based on the same underlying data.
Option B addresses the issue of data consistency and alignment between the two teams, which is a common challenge in organizations with separate data engineering and data analysis architectures. By using the same source of truth, the data lakehouse helps alleviate this issue and promotes better collaboration and data integrity.