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.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Familiarity with basic data engineering, data modeling, and data analytics concepts
• Understanding of common data terminologies and practices
• Recommended working knowledge of PySpark
• Experience with Microsoft data services is helpful but not mandatory
• Willingness to participate in practical labs and exercises

These prerequisites ensure a smoother learning experience and effective engagement with the Microsoft Fabric environment.

Target Audience

This course is ideal for:

• Data professionals and Power BI analysts looking to expand into enterprise-scale data analytics
• IT professionals and engineers experienced with data transformation, modeling, and visualization
• Individuals responsible for designing, developing, and deploying analytics solutions using Microsoft Fabric
• Professionals working with large datasets, business reporting, or unified analytics environments

The course is tailored for learners with a technical background in data analytics platforms and tools who are ready to apply those skills at scale using Microsoft Fabric.

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the DP-600: Microsoft Fabric Analytics Engineer course, learners will be able to:

• Understand end-to-end analytics workflows using Microsoft Fabric
• Administer and manage Fabric environments and analytics workspaces
• Ingest and transform data using Dataflows Gen2, Spark, and Data Factory pipelines
• Work with lakehouses and Delta Lake tables to build scalable, structured analytics layers
• Organize data using the Medallion architecture for optimized performance and data lineage
• Implement data governance, security, and compliance practices within Microsoft Fabric
• Load, query, monitor, and model data in Fabric data warehouses
• Scale Power BI models and reports for enterprise-wide consumption
• Create and optimize model relationships in Power BI
• Secure models using row-level security and other governance techniques
• Apply hands-on skills in real-world labs to reinforce learning and prepare for analytics roles