Produits
Logiciel Desktop
Listes
Logiciel de diagrammes de Gantt
Usages
Cartes mentales pour l'éducation
Mindomo - Travail
Cartes mentales pour développement personnel
Bénéfices des Cartes Mentales
Ressources
Fonctionnalités
Éducation
Personnel et Travail
Desktop
Tutoriels vidéos
Voir des conseils et des astuces sur l'utilisation de Mindomo.
Centre d'aide
Guide de l'utilisateur détaillé sur la configuration et l'usage de Mindomo.
Articles
Qu'est-ce qu'une carte mentale?
How to Mind Map?
How to Take Notes with Mind Maps?
How to Prioritize Tasks with Mind Maps?
Qu'est-ce qu'une carte conceptuelle?
Top 29 Exemples de cartes heuristiques
Tarifs
Connexion
Inscription
Produits
Logiciel Desktop
Listes
Logiciel de diagrammes de Gantt
Usages
Cartes mentales pour l'éducation
Mindomo - Travail
Cartes mentales pour développement personnel
Bénéfices des Cartes Mentales
Articles
Qu'est-ce qu'une carte mentale?
How to Mind Map?
How to Take Notes with Mind Maps?
How to Prioritize Tasks with Mind Maps?
Qu'est-ce qu'une carte conceptuelle?
Top 29 Exemples de cartes heuristiques
Fonctionnalités
Éducation
Personnel et Travail
Desktop
Aide
Tutoriels vidéos
Centre d'aide
Tarifs
Inscription
Connexion
Catégories :
Tout
par
ronny choez
Il y a 7 années
947
VENTAJAS Y DESVENTAJAS DE UNA BD
Att använda en databas innebär flera fördelar och nackdelar. På den positiva sidan erbjuder databaser ökad säkerhet för information, vilket minskar risken för dataläckor och obehörig åtkomst.
Ouvrir
VENTAJAS Y DESVENTAJAS DE UNA BD
desventajas
Ausencia de estándares reales
Subtema
Implantación larga y difícil
Requiere personal cualificado
Instalación costosa
ventajas
Menor espacio de almacenamiento.
Acceso a los datos más eficiente.
Datos más documentados
Mayor seguridad en los datos.
Integridad de los datos
Menor redundancia
data:image/jpeg;base64,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
Independencia de los datos y los programas y procesos.