Here's how you can demonstrate meticulousness and precision in a database administration role.

By consistently using validation rules and restraints, you can ensure the accuracy and reliability of your data. Routine audits are essential for catching any potential errors and further validate the accuracy and integrity of your data.

The most crucial part of data quality is accuracy. It ensures that your company’s business decisions are based on reliable and accurate data. This makes making good decisions in all areas easier, like planning, predicting, budgeting, etc. The?internal validity?of the information is referred to as accuracy. It suggests that the data is accurate and error-free.

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Cada vez que se crea una tabla, hay que pensar en las check constraints que se van a crear para impedir que se metan datos erróneos que afecten a la calidad del dato y que nos obliguen a hacer una posterior limpieza. Las auditorias pueden ayudar a detectar quien ha insertado el dato de forma incorrecta, pero hay que tener cuidado porque una auditoria mal controlada puede afectar al rendimiento de esa tabla. Más importante todavía a la hora de dise?ar una tabla es tener en cuenta los tipos de dato con el peso mínimo necesario, evitar los bigint o decimal cuando posiblemente con un smallint o tinyint es más que suficiente. Lo mismo ocurre con el uso de columnas de tipo string unicode(nvarchar) cuando no se van a almacenar estos caracteres.

Database security is crucial for protecting sensitive data. As a database administrator, implement role-based access control, strong multi-factor authentication, and enforce strict password policies. Encrypt data at rest with AES-256 and in transit with TLS/SSL. Keep software and systems updated with the latest security patches. Conduct regular security audits, log monitoring, and penetration testing. Ensure frequent, encrypted backups and have a disaster recovery plan in place. Establish clear security policies and train employees on best practices to maintain data integrity, confidentiality, and availability. Also always think out of the box and use the common sense.

Implementing Robust Security Measures in Database AdministrationDatabase security is paramount for administrators. Key practices include:User Access Management: Control access levels to ensure only authorized personnel can access sensitive data.Data Encryption: Encrypt data at rest and in transit to protect against breaches.Regular Updates: Continuously update security protocols to combat evolving threats.Frequent Audits: Conduct regular security audits to maintain data integrity and confidentiality.By meticulously implementing these security measures, you can safeguard your database against potential threats and ensure the protection of sensitive information.

1.Using strong authentication. 2. Separating database and web servers 3. Avoiding default network ports. In Somali: 1.Isticmaalka xaqiijinta xooggan. 2. Kala saarida xogta xogta iyo server-yada shabakadda. 3. Ka fogaanshaha dekedaha shabakadda ee caadiga ah

Otros puntos cruciales a tener en cuenta son la creación de políticas de contrase?as robustas y de caducidad a nivel de instancia, implementar auditorias DDL para tener control sobre cambios, no otorgar permisos de sysadmin a grupos de Windows, sino otorgar los permisos a nivel usuario, borrado de usuarios huérfanos (Existan en base de datos pero no en Directorio Activo). A nivel de cumplimiento de GDPR, se puede utilizar data masking y row level security para el dato en uso. Encriptación de conexiones (si el cliente del aplicativo lo soporta) para el dato en tránsito. Y Transparent Data Encryption (Así se denomina en SQL Server) para el dato en reposo.

Back up and maintain regular system checkups. Establish a reliable backup and recovery strategy to minimize downtime and data loss in a security incident or system failure.

Hello, friends! I would like to add that it is necessary to define storage policies and backup retention policies. Backup Storage: On-Site Storage: Local disks, NAS (Network Attached Storage), SAN (Storage Area Network); Off-Site Storage: Cloud storage solutions (e.g., Azure Blob Storage, Amazon S3), off-site tapes, or remote data centers; Hybrid Approach: Combination of on-site and off-site storage for added redundancy and disaster recovery capabilities. Backup Retention Policies: Define how long backups are kept before they are purged. Consider compliance and regulatory requirements when setting retention periods.

En los entornos SQL Server que administro hacemos backup completo semanal, backup diferencial diario y backup de log de transacciones cada 15 minutos/1hora, esto permite tener la restauración a un punto exacto en el tiempo. Recomiendo los scripts de Olla Hallengren como punto de partida. Hay otros dos puntos muy importantes a tener en cuenta, el primero es comprobar que la cadena de restauración no se rompe por snapshots de aplicaciones de terceros como Veeam o Commvault, hay que asegurarse que estos aplicativos hacen backup copy-only. El segundo es tener el backup replicado o inmutable, para esto se puede hacer backup a URL a Blob de Azure o AWS S3. O replicar la carpeta de backups con herramientas como AzCopy.

Effective Backup Strategies in Database AdministrationImplementing robust backup strategies is crucial for database administrators. Key practices include:Regular Backups: Schedule frequent backups to minimize data loss in case of failures.Automated Backups: Use automated tools to ensure consistency and reduce manual errors.Offsite Storage: Store backups in multiple locations, including offsite, to protect against physical disasters.Data Verification: Regularly verify backup integrity to ensure data can be successfully restored.Disaster Recovery Plan: Develop and test a comprehensive disaster recovery plan to ensure quick recovery in case of data loss.By following these strategies, you can ensure data availability and business continuity.

El rendimiento que un índice puede aportar a un SELECT es muy grande, pero hay que tener cuidado porque los INSERT/UPDATE/DELETE tendrán que hacer operaciones extra por cada índice que incluya esa columna. También hay que tener en cuenta el número de columnas que se a?aden al índice (no queremos duplicar una tabla) así como saber que campos son las keys principales y cuales include. Y también el correcto orden de las columnas para que sea igual al orden que tiene en la SELECT. Todavía más importante es la reindexación de estos índices cuando estén fragmentados, y la actualización de estadísticas usando un SAMPLE correcto. Por último, ?Asegúrate que todas las tablas tienen creado un índice clustered!

Hello, friends! Quick tip: We all know that TEMPDB would be crucial for an instance performance. We add several data files to spread the IO bottleneck to TEMPDB. But how can we understand that we still need more files for TEMPDB? This can be seen by looking at the wait_resource field in sys.dm_exec_requests and in particular the first number which indicates data resources. Number 2 means Tempdb has a problem. If PAGELATCH_UP waits are observed on the first page in any files on the TempDb database - that is, page 2:1:1 or 2:4:1 (essentially 2:N:1 for any N) - this indicates that there is contention for the PFS (Page Free Space) latch. That means we need more files for TEMPDB.

Hello, friends! Quick tip: Remember that indexes are not always useful for performance. You can face insert and update degradation as well as overhead of memory consumption if you have a lot of unused indexes. Despite these indexes not being used for data selects they are always read into the buffer pool for update data therefore IO and memory consumption increases. You can use sys.dm_db_index_usage_stats DMV for looking for indexes with high numbers of writes and zero or very low numbers of reads.

Hello, friends! Quick tip: A full backup to multiple files is significantly faster than a full backup to a single file. For example, we've performed a backup to four files twice as fast as a backup into a single file for a 15 Tb database.