DP-602: Implement a Data Warehouse with Microsoft Fabric

Unlock the power of enterprise-grade data warehousing by learning to implement scalable, high-performance data warehouse solutions with Microsoft Fabric. This instructor-led course teaches data professionals how to design, build, and manage modern data warehouses that enable integrated analytics across the organization.

You’ll explore how to leverage Microsoft Fabric’s data warehouse capabilities to ingest, model, and optimize large datasets for analytics workloads. Learn to architect data storage, apply performance tuning techniques, and integrate with Power BI for advanced business intelligence and reporting.

This course features 40% to 50% hands-on exercises, providing practical experience implementing data warehouses within Microsoft Fabric.

Target Audience:

This course is ideal for:

• Data engineers, data architects, and analytics professionals building scalable data warehouse solutions

• BI developers and data platform specialists modernizing legacy data infrastructure

• IT professionals preparing for certifications related to data warehousing and Microsoft Fabric

• Anyone interested in mastering data warehouse implementation using Microsoft Fabric

Prerequisites:
Familiarity with SQL, data modeling concepts, and cloud data platforms is recommended. Experience with Azure or Power BI is beneficial.

Course Outline:

Module 1: Introduction to Data Warehousing and Microsoft Fabric

• Understand the fundamentals of data warehousing and its role in enterprise analytics

• Explore Microsoft Fabric’s data warehouse architecture and core components

• Compare data warehouse, data lake, and lakehouse paradigms within Microsoft Fabric

Module 2: Designing and Building Data Warehouse Solutions in Microsoft Fabric

• Plan and implement fact and dimension tables using best practices in data modeling

• Ingest and transform data from diverse sources into the data warehouse

• Apply schema design and optimize storage structures for query performance

Module 3: Optimizing Data Warehouse Performance

• Implement indexing, partitioning, and compression techniques

• Use materialized views and caching to accelerate query responses

• Manage workload concurrency and scale compute resources efficiently

Module 4: Securing and Governing Data Warehouse Workloads

• Apply role-based access control (RBAC) and data encryption to protect sensitive data

• Use sensitivity labels, auditing, and compliance features within Microsoft Fabric

• Implement data governance policies to ensure regulatory compliance

Module 5: Integrating Data Warehouse with Power BI and Analytics Workloads

• Connect Power BI datasets directly to data warehouse tables for live reporting

• Build end-to-end analytics solutions combining Microsoft Fabric data warehouses with lakehouse and real-time analytics

• Design reports and dashboards to drive actionable business insights

Module 6: Automating Data Warehouse Operations

• Create and schedule data pipelines for automated data ingestion and transformation

• Monitor and troubleshoot data warehouse performance and health

• Implement backup, recovery, and disaster recovery strategies

Delivery Format:

• Instructor-led training with expert demonstrations

• 40% to 50% hands-on exercises in a Microsoft Fabric environment

• Practical scenarios designed to build real-world data warehouse skills