This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.

The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for data professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.

Job role: Data Analyst, Data Engineer

• Plan, implement, and manage a solution for data analytics
• Prepare and serve data.
• Implement and manage semantic models.
• Explore and analyze data.

Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric

Module 2: Ingest data with Spark and Microsoft Fabric notebooks

Module 3: Use Data Factory pipelines in Microsoft Fabric

Module 4: Get started with lakehouses in Microsoft Fabric

Module 5: Organize a Fabric lakehouse using medallion architecture design

Module 6: Use Apache Spark in Microsoft Fabric

Module 7: Work with Delta Lake tables in Microsoft Fabric

Module 8: Get started with data warehouses in Microsoft Fabric

Module 9: Load data into a Microsoft Fabric data warehouse

Module 10: Query a data warehouse in Microsoft Fabric

Module 11: Monitor a Microsoft Fabric data warehouse

Module 12: Understand scalability in Power BI

Module 13: Create Power BI model relationships

Module 14: Use tools to optimize Power BI performance

Module 15:Enforce Power BI model security