Implement data engineering solutions using Microsoft Fabric (DP-700)
- Código del Curso M-DP700T00
- Duración 4 días
Otros Métodos de Impartición
Salta a:
Método de Impartición
Este curso está disponible en los siguientes formatos:
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Cerrado
Cerrado
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Clase de calendario
Aprendizaje tradicional en el aula
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Aprendizaje Virtual
Aprendizaje virtual
Solicitar este curso en un formato de entrega diferente.
Temario
Parte superiorThis course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.
Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for data professionals with some data integration and orchestration experience.
Calendario
Parte superior-
- Método de Impartición: Aprendizaje Virtual
- Fecha: 09-12 febrero, 2026 | 10:00 AM to 6:00 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Inglés
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- Método de Impartición: Aprendizaje Virtual
- Fecha: 07-10 abril, 2026 | 10:00 AM to 6:00 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Inglés
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- Método de Impartición: Aprendizaje Virtual
- Fecha: 11-14 mayo, 2026 | 8:30 AM to 2:30 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Español
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- Método de Impartición: Aprendizaje Virtual
- Fecha: 26-29 mayo, 2026 | 9:00 AM to 5:00 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Inglés
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- Método de Impartición: Aprendizaje Virtual
- Fecha: 08-11 junio, 2026 | 10:00 AM to 6:00 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Inglés
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- Método de Impartición: Aprendizaje Virtual
- Fecha: 03-06 agosto, 2026 | 10:00 AM to 6:00 PM
- Sede: Aula Virtual (W. Europe )
- Idioma: Inglés
Dirigido a
Parte superiorObjetivos del Curso
Parte superior- Ingest data with Microsoft Fabric.
- Implement a Lakehouse with Microsoft Fabric
- Implement Real-Time Intelligence with Microsoft Fabric
- Implement a data warehouse with Microsoft Fabric
- Manage a Microsoft Fabric environment
Contenido
Parte superiorModule 1: Ingest data with Microsoft Fabric.
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Orchestrate processes and data movement with Microsoft Fabric
- Use Apache Spark in Microsoft Fabric
- Work with real-time data in a Microsoft Fabric eventhouse
Module 2: Implement a Lakehouse with Microsoft Fabric
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with lakehouses in Microsoft Fabric
- Use Apache Spark in Microsoft Fabric
- Work with Delta Lake tables in Microsoft Fabric
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Orchestrate processes and data movement with Microsoft Fabric
- Organize a Fabric lakehouse using medallion architecture design
Module 3: Implement Real-Time Intelligence with Microsoft Fabric
- Get started with Real-Time Intelligence in Microsoft Fabric
- Use eventstreams in Microsoft Fabric
- Work with real-time data in an eventhouse in Microsoft Fabric
- Create Real-Time Dashboards with Microsoft Fabric
- Use Activator in Microsoft Fabric
Module 4: mplement a data warehouse with Microsoft Fabric
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with data warehouses in Microsoft Fabric
- Load data into a Microsoft Fabric data warehouse
- Query a data warehouse in Microsoft Fabric
- Monitor a Microsoft Fabric data warehouse
- Secure a Microsoft Fabric data warehouse
Module 5: Manage a Microsoft Fabric environment
- Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
- Monitor activities in Microsoft Fabric
- Secure data access in Microsoft Fabric
- Administer a Microsoft Fabric environment
Module 6: Use Activator in Microsoft Fabric
- Configure Activator for your data
- Create rules in Activator
- Configure actions in Activator
- Exercise - Use Activator in Fabric
Pre-requisitos
Parte superior- This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.