A financial institution is setting up an in-memory data warehouse for real-time fraud detection. They are concerned about the potential loss of data in case of a system crash. What should be their primary consideration when setting up this system?
- Data Compression
- Data Encryption
- Data Persistence
- Data Redundancy
In a real-time data warehouse for tasks like fraud detection, ensuring data persistence is crucial. Data persistence mechanisms ensure that data is not lost in case of system crashes, making it essential for maintaining data integrity in critical financial applications.
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