Implementing a Data Warehouse with Microsoft SQL Server 2014

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Este curso describe cómo implementar una plataforma de depósito de datos para admitir una solución de BI. Los estudiantes aprenderán cómo crear un almacén de datos con Microsoft SQL Server 2014, implementar ETL con SQL Server Integration Services y validar y limpiar datos con SQL Server Data Quality Services y SQL Server Master Data Services.

Nota: Este curso está diseñado para clientes interesados en aprender SQL Server 2012 o SQL Server 2014. Cubre las nuevas características en SQL Server 2014, pero también las capacidades importantes en la plataforma de datos de SQL Server.

Perfil de audiencia.
Este curso está destinado a profesionales de bases de datos que necesitan cumplir una función de desarrollador de Business Intelligence. Tendrán que centrarse en el trabajo práctico creando soluciones de BI, incluida la implementación de Data Warehouse, ETL y limpieza de datos. Las responsabilidades principales incluyen:

• Implementación de un almacén de datos.
• Desarrollo de paquetes SSIS para extracción, transformación y carga de datos.
• Hacer cumplir la integridad de los datos mediante el uso de Master Data Services.
• Limpieza de datos mediante el uso de servicios de calidad de datos.

Prerrequisitos
Este curso requiere que cumpla con los siguientes requisitos previos:

• Al menos 2 años de experiencia trabajando con bases de datos relacionales.
• Diseño de una base de datos normalizada.
• Crear tablas y relaciones.
• Consulta con Transact-SQL.
• Alguna exposición a construcciones de programación básicas (como bucles y ramificaciones).
• Es deseable conocer las prioridades comerciales clave, como los ingresos, la rentabilidad y la contabilidad financiera.

Al finalizar el curso.
Después de completar este curso, los estudiantes podrán:

• Describir conceptos de almacén de datos y consideraciones de arquitectura.
• Seleccione una plataforma de hardware adecuada para un almacén de datos.
• Diseñar e implementar un almacén de datos.
• Implemente el flujo de datos en un paquete SSIS.
• Implemente Control Flow en un paquete SSIS.
• Depuración y solución de problemas de paquetes SSIS.
• Implemente una solución ETL que admita la extracción de datos incremental.
• Implemente una solución ETL que admita la carga de datos incremental.
• Implemente la limpieza de datos utilizando los Servicios de calidad de datos de Microsoft.
• Implemente Master Data Services para hacer cumplir la integridad de los datos.
• Extienda SSIS con scripts y componentes personalizados.
• Implementar y configurar paquetes SSIS.
• Describa cómo las soluciones de BI pueden consumir datos del almacén de datos.

Consulta nuestros cursos y temarios disponibles para SQL Server 2014
Implementing a Data Warehouse with Microsoft SQL Server 2014

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