DP-600T00 | Microsoft Fabric Analytics Engineer
 
This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses. This course is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification.
 
Audience profile
The primary audience for this course is data professionals with experience in data modeling and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).

Role
Data Analyst
Data Engineer

Course Outline
Module 1: Get started with Microsoft Fabric
Explore how to implement data analytics solutions on a single platform with Microsoft Fabric. Integrate, transform, and store data to train AI models and create insightful reports.
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
Orchestrate processes and data movement with Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Get started with Real-Time Intelligence in Microsoft Fabric
Get started with data science in Microsoft Fabric
Administer a Microsoft Fabric environment
Module 2: Implement a data warehouse with Microsoft Fabric
Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in 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 3: Work with semantic models in Microsoft Fabric
Designing reports for enterprise scale requires more than just connecting to data. Understanding semantic models and strategies for scalability and lifecycle management are key to a successful enterprise implementation. This learning path helps you prepare for the Fabric Analytics Engineer Certification.
Add measures to Power BI Desktop models
Design scalable semantic models
Optimize a model for performance in Power BI
Create and manage Power BI assets
Enforce Power BI model security
Module 4: Administer and govern Microsoft Fabric
Microsoft Fabric Administration involves securing and governing data, administering the environment, and monitoring optimizing performance for efficient and compliant data management.
Administer a Microsoft Fabric environment
Secure data access in Microsoft Fabric
Secure a Microsoft Fabric data warehouse
Govern data in Microsoft Fabric with Purview
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.