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In a data engineering project, you are required to design a data pipeline that handles both structured and unstructured data efficiently. How would you utilize Delta Lake's capabilities to manage this diverse data type integration and ensure data consistency and quality?
A
Use Delta Lake solely for structured data and handle unstructured data with separate tools.
B
Leverage Delta Lake's schema enforcement and data validation features to manage both structured and unstructured data, ensuring consistency and quality across all data types.
C
Store all data in a single format to simplify data management.
D
Ignore data quality and consistency issues as they are too complex to manage with Delta Lake.