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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
Explanation:
The correct answer is B. Both teams would use the same source of truth for their work.
The fundamental value of a data lakehouse in this context is providing a unified platform where both data engineering and analytics teams can work with the same data, breaking down architectural silos and creating a single source of truth.