Which of the following describes how a data lakehouse could alleviate this issue?

A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.

Which of the following describes how a data lakehouse could alleviate this issue?
A . Both teams would autoscale their work as data size evolves
B . Both teams would use the same source of truth for their work
C . Both teams would reorganize to report to the same department
D . Both teams would be able to collaborate on projects in real-time
E . Both teams would respond more quickly to ad-hoc requests

Answer: B

Explanation:

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.