DP-601: Implement a Lakehouse with Microsoft Fabric
Course Overview
Course Description:
Accelerate your data modernization journey by mastering the implementation of a lakehouse architecture using Microsoft Fabric, the unified analytics platform. This instructor-led course guides data professionals through building scalable, secure, and performant lakehouse solutions that combine the best features of data lakes and data warehouses.
Learn to architect and manage Delta Lake tables, integrate diverse data sources into OneLake, and leverage Microsoft Fabric’s built-in analytics workloads to enable real-time insights. Gain practical knowledge in securing data, optimizing query performance, and enabling seamless integration with Power BI and Azure Synapse Analytics.
This course features 40% to 50% hands-on exercises, providing practical experience with Microsoft Fabric lakehouse implementations.
Target Audience:
This course is designed for:
Data engineers, data architects, and analytics professionals developing lakehouse solutions on Microsoft Fabric
Business intelligence developers and data platform specialists modernizing data environments
IT professionals preparing for Microsoft certifications related to data engineering with Microsoft Fabric
Anyone interested in leveraging unified data management and analytics with Microsoft Fabric lakehouse technology
Prerequisites:
Basic knowledge of data lakes, SQL, and cloud data concepts. Familiarity with Azure or Power Platform is helpful.
Course Outline:
Module 1: Understanding Lakehouse Architecture and Microsoft Fabric
Explore the fundamentals of lakehouse architecture and its role in unified analytics
Learn about Microsoft Fabric’s platform components including OneLake and analytics workloads
Compare traditional data lakes, data warehouses, and the lakehouse paradigm
Module 2: Building and Managing Delta Lake Tables in Microsoft Fabric
Create, configure, and manage Delta Lake tables for reliable data storage
Implement schema enforcement and schema evolution for evolving datasets
Handle data ingestion from various structured and unstructured sources
Module 3: Securing Data in the Microsoft Fabric Lakehouse
Apply role-based access control (RBAC) and manage user permissions
Utilize data encryption, sensitivity labels, and compliance controls
Monitor lakehouse activities with auditing and data governance tools
Module 4: Optimizing Lakehouse Performance and Scalability
Tune lakehouse performance using partitioning, caching, and materialized views
Scale compute and storage resources independently for efficiency
Leverage serverless compute and auto-scaling capabilities within Fabric
Module 5: Integrating Lakehouse Data with Power BI and Azure Synapse Analytics
Connect Power BI directly to lakehouse Delta tables for real-time reporting
Combine lakehouse data with Azure Synapse Analytics for advanced analytics workloads
Design dashboards and reports that provide actionable insights from lakehouse data
Module 6: Automating Lakehouse Workflows and Operations
Build and schedule data pipelines using Microsoft Fabric’s orchestration tools
Implement data lifecycle management including retention and archival
Set up monitoring, alerts, and troubleshooting for lakehouse environments
Delivery Format:
Live instructor-led training with expert-led demonstrations
40% to 50% practical, hands-on exercises in a Microsoft Fabric environment
Real-world scenarios to build applied skills in lakehouse implementation
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