What security steps are important in Data Engineering?
The question is about Data Analysis .
Important security steps in Data Engineering include safeguarding data at every stage: collection, processing, storing, and transmission. Encrypt data both when stored and in transit, and implement access controls to prevent unauthorised access. Conduct regular audits of data usage. Use masking, anonymisation, and adhere to regulations like GDPR. Continuous monitoring helps to detect and respond swiftly to potential security threats.
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