Which technique in data warehousing ensures that data remains consistent and unchanged during a user query, even if the underlying data changes?
- Data Consistency
- Data Deletion
- Data Isolation
- Data Shuffling
Data consistency in data warehousing ensures that data remains consistent and unchanged during a user query, even if the underlying data changes. This is typically achieved through techniques like snapshot isolation or locking mechanisms to maintain data integrity for concurrent user queries.
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