Encryption keys and secrets need regular rotation, extremely restricted access, rigorous monitoring and auditing Apple, Google and Netflix have pioneered a technology called zero-trust data privacy vault. In 2022 IEEE recognised this approach as the future of "privacy by engineering" Data privacy vault architecture isolates, protects and governs access to sensitive customer data Replace existing references in downstream services with non- sensitive references in the form of tokens The de-identified tokens don't carry any sensitive information In 2019 when Capital One suffered a data breach, only 1% of customer SSNs were compromised because Capital One was using tokenization to protect some of their customer data

I consider these as my checklist: - Role-Based Access Control (RBAC) - Data Encryption - Auditing and Monitoring - Data Masking - User Training - Regular Security Assessments - Least Privilege Principle - Multi-Factor Authentication (MFA) - Secure API Access ( If enabled ) - Network Security Measures - Incident Response Plan - Backup and Recovery Solutions - Compliance with Regulations

To balance security and access during a data warehouse upgrade, use Role-Based Access Control (RBAC) to limit access based on job roles. Implement data encryption and masking to protect sensitive information while ensuring broader access. Require Multi-Factor Authentication (MFA) for an extra security layer. Enable and monitoring to track user activity. Use data segmentation to apply stricter controls to sensitive data. Conduct periodic access reviews and integrate with federated authentication providers. Share data using secure views and leverage automated data classification to enforce security policies automatically.

Making sure the upgrade doesn't affect underlying data by 1. Role Based Access Control 2.Enhanced encryption with keys 3.Data Masking

Your current data warehouse security strategy should already take into consideration any infrastructure or environmental upgrades or changes. If not, then the security strategy in place is too stringent and not flexible enough. We have an Active Directory - centric security system that is flexible enough to be role based and properly tuned to our BI needs. Any upgrades to our BI environment is already taken into consideration. Even creating temporary data repositories on-premise or in the cloud are properly covered by existing AD groups. So, before you begin upgrading, enhancing, updating your BI environment, make sure your current security strategy is flexible enough to handle that.

So I'm seeing the standard answers (encryption, role based access, etc), which of course are absolutely correct. HOW you implement these can make or break your DW upgrade. Our security is AD-driven & role based, schema level. We go beyond the standard KMS level encryption to physically encrypt PII data in the colum, so if our system is breached, they need a user id with specific access to see sensitive data in the clear (face it, hackers are after the data in the DW not files). Then SEVERELY LIMIT the number of IDs with this kind of access! Finally, use a DW product that allows a quick rollback to the previous version if the upgrade fails. Ours allows a sandbox cluster to test the upgrade on a mirrored subcluster before putting it in place.

To maintain strong security while ensuring data accessibility during data warehouse upgrades, it is essential to implement key measures. These include Role-Based Access Control (RBAC) for managing user permissions, Data Encryption for encoding sensitive information, Multi-Factor Authentication (MFA) for added security, Data Masking to obscure sensitive data, and Real-Time Monitoring for continuous oversight. This strategy allows organizations to uphold security without restricting access for authorized users, balancing security and accessibility during upgrades.

When managing a data warehouse upgrade, maintaining security without limiting data accessibility is critical. Start by implementing role-based access controls (RBAC) to ensure only authorized users can access sensitive data. Use encryption for data at rest and in transit to safeguard against breaches. Conduct regular security audits and monitor activity logs for anomalies. Implement multi-factor authentication (MFA) for additional protection. Test all security protocols post-upgrade to confirm they don't impede data accessibility, and collaborate with stakeholders to ensure a balance between security and usability. #DataWarehouseUpgrade #DataSecurity #DataAccessibility #ETL #TechLeadership

Implement Role-Based Access Control (RBAC): Assign permissions based on user roles to ensure secure and appropriate data access. Encrypt Data: Use encryption for data at rest and in transit to protect sensitive information. Regular Security Audits: Conduct frequent security audits to identify and address vulnerabilities. Use Multi-Factor Authentication (MFA): Enhance security without compromising accessibility by requiring additional verification steps. Backup and Disaster Recovery Plans: Ensure data is backed up and recovery plans are in place to maintain data integrity. Monitor and Log Access: Continuously monitor and log data access activities to detect and respond to any suspicious behavior promptly.

I am a bit unclear on the exact scope of the question. Assuming the security and/or data accessibility processes are part of the upgrade, the upgrade should guarantee the following; 1.MFA and RBAC for all authorized users 2. Encryption of data at rest and in transit. 3. Data Masking of sensitive data 4. Access and Activity Monitoring & Auditing If the question pertains to a typical DW upgrade, the following steps should be taken; 1. Perform a full backup of the entire DW, including schemas, data, configurations, and logs. 2. Develop a rollback plan to execute in case the upgrade fails. 3. Schedule the upgrade during a window that minimizes business impact, and clearly communicate the planned downtime to stakeholders.