To prevent data integrity issues when changes are made without consultation, ensure strict access control, allowing only authorized personnel to modify the database. Implement a version control system to track schema changes. Establish a formal change management process for reviewing and approving updates. Use automated testing to identify integrity issues, and maintain regular backups with audit logs to recover or trace unauthorized changes efficiently.

To prevent data integrity issues after unconsulted database changes: Immediate Review: Assess the changes to identify potential risks or issues. Collaborate: Communicate with the developer to understand the reasoning behind the changes. Rollback: If necessary, use version control or backups to revert to a stable state. Testing: Run tests to ensure data consistency and integrity. Establish Protocols: Implement strict guidelines for future database changes, including mandatory peer reviews. Monitor: Set up automated monitoring tools to detect unauthorized modifications. These steps will help maintain data integrity and prevent future issues.

- Establish a Change Management Process: Create a formal process for database changes that requires documentation and review before implementation. - Version Control: Use version control for database schemas and migration scripts. - Collaboration Tools: Utilize collaboration tools for database design discussions, ensuring all stakeholders can review and comment on proposed changes. - Database Constraints: Implement strong database constraints (e.g., foreign keys, unique constraints, check constraints) to enforce data integrity automatically, regardless of changes made. - Regular Audits: Schedule regular audits of the database schema and data integrity to identify and rectify any issues that may arise.

O que poderia ser feito, a fim de recuperar dados apagados, seria armazenar e locais seguros as vers?es oficiais, antes da altera??o, em bancos de dados, como HDs externos ou nuvem. Além disso, criar senhas para acessar tais bancos, definindo níveis de acesso aos usuários poderia contribuir para que altera??es sejam feitas por pessoas específica.

Lo primero que hay que hacer es generar un proceso de control de cambios donde haya comunicacion y colaboracion en el sentido que los cambios sean siempre en un entorno controlado y a travez de un pipeline de integracion y despliegue vaya pasando de un stage a otro. Lo que recomiendo es el uso de revisión de codigo es decir subir feature branch y luego el TL o el rol parecido pueda hacer una revisación del mismo.Por ejemplo si se trabaja con Entity Framework Core ver las migrations y sus cambios. Por ultimo la base de datos necesita tener una copia de seguridad que en la nube: Azure SQL Database Automated Backups Amazon RDS Automated Backups (RDS) Si la db esta on-premise se puede usar algun job en el server o software.