Databricks Certified Data Engineer - Associate
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A data organization leader is concerned because the reports generated by the data analysis team are inconsistent with those produced by the data engineering team. The leader suspects that the root cause of this problem lies in the siloed nature of their existing data engineering and data analysis infrastructures. How could implementing a data lakehouse architecture help resolve these discrepancies?
A data organization leader is concerned because the reports generated by the data analysis team are inconsistent with those produced by the data engineering team. The leader suspects that the root cause of this problem lies in the siloed nature of their existing data engineering and data analysis infrastructures. How could implementing a data lakehouse architecture help resolve these discrepancies?
Explanation:
A data lakehouse provides a single, unified data repository that serves as a single source of truth. This ensures that both the data analysis team and the data engineering team use the same consistent data sets, reducing discrepancies in their reports. This alignment improves data consistency and collaboration between the teams.