In a scenario where cloud ETL processes handle sensitive data, what strategies should be employed to maintain data privacy and security?
- Data Archiving, Data Purging, Data Snapshotting, Data Staging
- Data Compression, Data Obfuscation, Data Replication, Data Minimization
- Data Duplication, Data Fragmentation, Data Redundancy, Data Shuffling
- Multi-Factor Authentication, Data Encryption, Access Controls, Data Masking
To maintain data privacy and security in cloud ETL processes handling sensitive data, strategies like multi-factor authentication, data encryption, access controls, and data masking should be employed. These measures help safeguard sensitive information from unauthorized access and potential breaches.
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