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In the context of modern data architectures, consider the data lakehouse paradigm, which combines the benefits of data lakes and data warehouses. Discuss which specific features of a data lakehouse architecture contribute to enhanced data quality compared to a traditional data lake.
A
A data lakehouse provides storage solutions for structured and unstructured data.
B
A data lakehouse supports ACID-compliant transactions.
C
A data lakehouse allows the use of SQL queries to examine data.
D
A data lakehouse stores data in open formats.
E
A data lakehouse enables machine learning and artificial Intelligence workloads.
Explanation:
A data lakehouse supports ACID (Atomicity, Consistency, Isolation, Durability) compliant transactions. ACID compliance ensures that transactions are processed reliably and consistently, which is crucial for maintaining data integrity and quality. This feature helps prevent data inconsistencies or errors that might occur during concurrent transactions or data operations, making it a significant improvement over traditional data lakes that may not offer such transactional guarantees.