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Ver Oferta Académica CompletaThis 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 pipelin…
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:
To participate in this training, attendees must meet the following requirements:
| Certificación Internacional Fabric Data Engineer Associate (DP-700) | Applies |
|---|---|
| Certificación Internacional Fabric Data Engineer Associate (DP-700) | 32 hours |
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.
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 nowMake your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
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:
To participate in this training, attendees must meet the following requirements:
| Certificación Internacional Fabric Data Engineer Associate (DP-700) | Applies |
|---|---|
| Certificación Internacional Fabric Data Engineer Associate (DP-700) | 32 hours |
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.
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Fundamentals of Microsoft Fabric: Lakehouse, Data Warehouse, OneLake.
Main services: Dataflows Gen2, Pipelines, Notebooks, Eventstreams.
Differences with other platforms (Synapse, Databricks, etc.).
Navigation through the portal and initial configuration of workspaces.
Importing data from on-premises and cloud sources.
Available connectors and dataflow configuration.
Incremental vs full ingestion.
Automation and data quality control.
Fundamentals of Eventstreams.
Configuration of inputs and outputs.
Streaming with Spark Structured Streaming and KQL.
Use cases with sensors, logs, and live applications.
Use of notebooks with PySpark and Spark SQL.
Transformations with dataflows: cleaning, combining, enriching.
Error handling and optimization of transformation tasks.
Differences between Lakehouse and Data Warehouse in Fabric.
Definition of tables, partitions, and storage formats (Delta, Parquet).
Creation of views, relationships, and tabular models.
Optimization of data schemas.
Creation of Pipelines in Fabric.
Use of scheduled and event-based triggers.
Calling notebooks, dataflows, and external data.
Managing dependencies and errors in complex pipelines.
Configuration of roles and permissions (RBAC).
Application of row, column, and file access policies.
Labeling of sensitive data and use of Microsoft Purview.
Auditing and regulatory compliance.
Use of real-time metrics and activity logs.
Detection of bottlenecks and performance optimization.
Integration with Power BI for visual monitoring.
Automated alerts and notifications.
Versioning and code control with Git in Fabric.
CI/CD for data flows, notebooks, and reports.
Use of templates and deployment in multiple environments.
Introduction to Terraform, ARM templates, and PowerShell.
Strategies for answering scenario-based questions.
Practice with labs and simulations.
Review of real case studies.
Resource guide and self-assessment.
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