International Certification Fabric Data Engineer Associate (DP-700)

International Certification Fabric Data Engineer Associate (DP-700)

Módulos

Módulo 1: Introducción a Microsoft Fabric y su arquitectura

  • Fundamentos de Microsoft Fabric: Lakehouse, Data Warehouse, OneLake.

  • Servicios principales: Dataflows Gen2, Pipelines, Notebooks, Eventstreams.

  • Diferencias con otras plataformas (Synapse, Databricks, etc.).

  • Navegación por el portal y configuración inicial de espacios de trabajo.

  • Importación de datos desde fuentes on-premises y cloud.

  • Conectores disponibles y configuración de dataflows.

  • Ingesta incremental vs completa.

  • Automatización y control de calidad de datos.

  • Fundamentos de Eventstreams.

  • Configuración de entradas (inputs) y salidas (outputs).

  • Streaming con Spark Structured Streaming y KQL.

  • Casos de uso con sensores, logs y aplicaciones en vivo.

  • Uso de notebooks con PySpark y Spark SQL.

  • Transformaciones con dataflows: limpieza, combinación, enriquecimiento.

  • Manejo de errores y optimización de tareas de transformación.

  • Diferencias entre Lakehouse y Data Warehouse en Fabric.

  • Definición de tablas, particiones y formatos de almacenamiento (Delta, Parquet).

  • Creación de vistas, relaciones y modelos tabulares.

  • Optimización de esquemas de datos.

  • Creación de Pipelines en Fabric.

  • Uso de triggers programados y basados en eventos.

  • Llamado de notebooks, dataflows y external data.

  • Manejo de dependencias y errores en pipelines complejos.

  • Configuración de roles y permisos (RBAC).

  • Aplicación de políticas de acceso por fila, columna y archivo.

  • Etiquetado de datos sensibles y uso de Microsoft Purview.

  • Auditoría y cumplimiento normativo.

  • Uso de métricas en tiempo real y logs de actividad.

  • Detección de cuellos de botella y optimización de rendimiento.

  • Integración con Power BI para monitoreo visual.

  • Alertas automatizadas y notificaciones.

  • Versionado y control de código con Git en Fabric.

  • CI/CD para flujos de datos, notebooks y reportes.

  • Uso de plantillas y despliegue en múltiples entornos.

  • Introducción a Terraform, ARM templates y PowerShell.

  • Estrategias para responder preguntas por escenario.

  • Práctica con laboratorios y simulacros.

  • Revisión de casos de estudio reales.

  • Guía de recursos y autoevaluación.

This program is designed for experienced data professionals who seek to design, implement, and operate enterprise-scale data engineering solutions using Microsoft Fabric. It combines advanced theory and practice in data ingestion, transformation, orchestration, security, and optimization of pipelines and lakehouses.

This program prepares participants to obtain the international certification:

Fabric Data Engineer Associate (DP-700)

Additionally, with the purchase of this course, participants will receive Azure Data Fundamentals (DP-900) completely free in offline mode (pre-recorded videos with certified instructors).

Participants will learn to design and implement data processing solutions in Azure, ensuring data flow, efficient storage, source integration, and secure data management.

Following the Practical Learning Method, students will engage in hands-on labs, simulations, and real-world projects to ensure the application of acquired knowledge in a professional environment.

Upon completing the course, participants will be able to:

  • Configure Fabric workspaces, including Spark, OneLake, and Data Workflows
  • Implement version control, CI/CD pipelines, and database project deployments
  • Apply security controls, such as row-level, column-level, and file-level access, sensitivity labels, and audit logs
  • Design and implement large-scale and streaming data ingestion and transformation using SQL, PySpark, or KQL
  • Orchestrate data flows with pipelines, notebooks, and scheduled or event-based triggers
  • Set up monitoring and alerts, and optimize the performance of data solutions

To participate in this training, attendees must meet the following requirements:

  • Previous experience in data ingestion, transformation, and loading (ETL)
  • Advanced knowledge of SQL, PySpark, or KQL
  • Familiarity with data warehouse and lakehouse concepts, pipelines, and data security models

International Certification Fabric Data Engineer Associate (DP-700) Applies
International Certification Fabric Data Engineer Associate (DP-700) 32 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Pre-enroll now

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Description

This program is designed for experienced data professionals who seek to design, implement, and operate enterprise-scale data engineering solutions using Microsoft Fabric. It combines advanced theory and practice in data ingestion, transformation, orchestration, security, and optimization of pipelines and lakehouses.

This program prepares participants to obtain the international certification:

Fabric Data Engineer Associate (DP-700)

Additionally, with the purchase of this course, participants will receive Azure Data Fundamentals (DP-900) completely free in offline mode (pre-recorded videos with certified instructors).

Participants will learn to design and implement data processing solutions in Azure, ensuring data flow, efficient storage, source integration, and secure data management.

Following the Practical Learning Method, students will engage in hands-on labs, simulations, and real-world projects to ensure the application of acquired knowledge in a professional environment.

Objectives

Upon completing the course, participants will be able to:

  • Configure Fabric workspaces, including Spark, OneLake, and Data Workflows
  • Implement version control, CI/CD pipelines, and database project deployments
  • Apply security controls, such as row-level, column-level, and file-level access, sensitivity labels, and audit logs
  • Design and implement large-scale and streaming data ingestion and transformation using SQL, PySpark, or KQL
  • Orchestrate data flows with pipelines, notebooks, and scheduled or event-based triggers
  • Set up monitoring and alerts, and optimize the performance of data solutions

To participate in this training, attendees must meet the following requirements:

  • Previous experience in data ingestion, transformation, and loading (ETL)
  • Advanced knowledge of SQL, PySpark, or KQL
  • Familiarity with data warehouse and lakehouse concepts, pipelines, and data security models

offers

International Certification Fabric Data Engineer Associate (DP-700) Applies
International Certification Fabric Data Engineer Associate (DP-700) 32 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor(live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

La metodología persigue que el estudiante "does not memorize", but rather "understands" the concepts and how they are applied in a work environment."

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

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