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."
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. A data lakehouse supports ACID-compliant transactions.
ACID compliance (Atomicity, Consistency, Isolation, Durability) ensures that transactions are processed reliably and helps maintain data integrity. This feature allows for reliable updates, deletions, and insertions in a data lakehouse, which significantly improves data quality by avoiding issues like partial updates or inconsistent states that are common in traditional data lakes.
B. A data lakehouse supports ACID-compliant transactions.
ACID compliance ensures data integrity and consistency, which improves the overall quality of the data.
B. A data lakehouse supports ACID-compliant transactions.
ACID (Atomicity, Consistency, Isolation, Durability) compliance ensures that transactions are processed reliably and consistently, which is crucial for maintaining data integrity and quality. It helps in preventing data inconsistencies or errors that might occur during concurrent transactions or data operations. By supporting ACID-compliant transactions, a data lakehouse can enhance data quality by providing mechanisms to ensure the reliability and consistency of data operations, which is a notable improvement over traditional data lakes that might lack such transactional capabilities.
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?
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