Course DP-600T00-A: Microsoft Fabric Analytics Engineer

Get started 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

• 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

Implement 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

Work with semantic models in Microsoft Fabric

• Create DAX calculations in semantic models

• Design scalable semantic models

• Optimize a model for performance in Power BI

• Create and manage Power BI assets

• Enforce Power BI model security

Administer and govern Microsoft Fabric

• Administer a Microsoft Fabric environment

• Secure data access in Microsoft Fabric

• Secure a Microsoft Fabric data warehouse

• Govern data in Microsoft Fabric with Purview

Course DP-700T00-A: Implement data engineering solutions using Microsoft Fabric

Module 1: Ingest and Transform Data

• Data Integration using Dataflows Gen2 and Pipelines.

• Using Apache Spark for data transformation.

• Data loading patterns (batch and incremental).

Module 2: Implement a Lakehouse

• Medallion architecture design (Bronze, Silver, Gold).

• Working with Delta Lake tables.

Module 3: Real-Time Intelligence

• Using Eventstreams and KQL Database.

• Real-time analytics, windowing functions, and dashboards.

Module 4: Data Warehouse Implementation

• Designing and managing Data Warehouses.

• Data modeling and SQL performance tuning.

Module 5: Security and Governance

• Implementing Row-Level Security (RLS) and Data Masking.

• Managing workspace permissions and sensitivity labels.

Module 6: Monitoring and Optimization

• Monitoring workflows with Fabric tools.

• Using Activator to trigger alerts

Feedback from our students:

"I have never had a better technical instructor and I have taken a LOT of technical courses"—JB, US

"This was the best training I have ever attended"—WG, Germany

"I had the opportunity to attend the perfect training. Organized with excellence and led magnificantly!"—LD, Bulgaria

"It was a great and perfect training for me. The instructor was one of the best ones I had for technical training. The training was well-organized and covered a lot. Thank you."—AK, US