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A is the correct answer. Allowing SQL query to examine data does not improve the quality of the data. For example, if the person writes the wrong query they will get a wrong answer. So how does that improve the quality of the data?
B. A data lakehouse supports ACID-compliant transactions.
One of the key features of a data lakehouse that results in improved data quality over a traditional data lake is its support for ACID (Atomicity, Consistency, Isolation, Durability) transactions. ACID transactions provide data integrity and consistency guarantees, ensuring that operations on the data are reliable and that data is not left in an inconsistent state due to failures or concurrent access.
In a traditional data lake, such transactional guarantees are often lacking, making it challenging to maintain data quality, especially in scenarios involving multiple data writes, updates, or complex transformations. A data lakehouse, by offering ACID compliance, helps maintain data quality by providing strong consistency and reliability, which is crucial for data pipelines and analytics.
B is correct answer. Only B deals with data quality i.e. ACID transactions make sure all the transactions are complete, isolated, consistent and durable.
Option B - ACID Properties Source: https://www.databricks.com/blog/2021/08/30/frequently-asked-questions-about-the-data-lakehouse.html#five -> "Lakehouse tackles the fundamental issues that make data swamps out of data lakes. It adds ACID transactions to ensure consistency as multiple parties concurrently read or write data."
ACID-compliant transactions ensure that data is consistent, reliable, and accurate. By supporting ACID transactions, a data lakehouse can provide improved data quality over a traditional data lake. This is because ACID transactions guarantee that updates to the data are either completed in their entirety or not at all, reducing the risk of data corruption or errors.
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