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DP-600T00: Implement analytics solutions using Microsoft Fabric
This advanced course teaches you how to prepare, enrich and serve data for analysis with Microsoft Fabric. You’ll learn to design dimensional models and transform data with dataflows, notebooks and T-SQL across lakehouses, warehouses and eventhouses. It also covers building and optimising semantic models, managing the analytics development lifecycle, and applying security and governance. It prepares you for the Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) exam.
Duration
32 hours (4 days)
Modules
4 Modules
Course type
Microsoft
Course Overview
This advanced-level course is designed for experienced data professionals who want to implement and manage enterprise-scale analytics solutions using Microsoft Fabric. Learners will gain hands-on experience with Fabric dataflows, pipelines, notebooks, semantic models, lakehouses, and data warehouses. The course prepares candidates for the Microsoft Certified: Fabric Analytics Engineer Associate certification.
Before You Begin
- Experience with data modeling and analytics
- Familiarity with Power BI and PL-300 certification topics
- Knowledge of SQL, KQL, or DAX programming languages
- Understanding of enterprise data architecture
Key outcomes
- Implement Lakehouses & Models Design lakehouses and semantic models in Fabric.
- Transform Data with Pipelines Use notebooks and pipelines for data engineering tasks.
- Govern & Secure Fabric Apply governance and security across Fabric environments.
- Monitor Analytics Solutions Track performance and optimize Fabric-based analytics.
Tools you’ll use
Microsoft Fabric
Power BI Desktop
Fabric Dataflows & Pipelines
Fabric Notebooks
Fabric Admin & Governance Tools
Skills you’ll gain
- Semantic Model Building
- Lakehouse Architecture Design
- Scalable Warehouse Implementation
- Notebook-Based Transformation
- Fabric Environment Governance
- Monitoring Fabric Workflows
- Analytics Integration Strategy
- Microsoft Fabric Insights
What You’ll Learn
4 modules
1Lesson 1: Get Started with Microsoft Fabric
Module 1: Introduction to End-to-End Analytics Using Microsoft Fabric Module 2: Get Started with Lakehouses in Microsoft Fabric Module 3: Use Apache Spark in Microsoft Fabric Module 4: Work with Delta Lake Tables in Microsoft Fabric Module 5: Orchestrate Processes and Data Movement with Microsoft Fabric Module 6: Ingest Data with Dataflows Gen2 in Microsoft Fabric Module 7: Get Started with Data Warehouses in Microsoft Fabric Module 8: Get Started with Real-Time Intelligence in Microsoft Fabric Module 9: Get Started with Data Science in Microsoft Fabric Module 10: Administer a Microsoft Fabric Environment
2Lesson 2: Implement a Data Warehouse with Microsoft Fabric
Module 1: Introduction to End-to-End Analytics Using Microsoft Fabric Module 2: Get Started with Data Warehouses in Microsoft Fabric Module 3: Load Data into a Microsoft Fabric Data Warehouse Module 4: Query a Data Warehouse in Microsoft Fabric Module 5: Monitor a Microsoft Fabric Data Warehouse Module 6: Secure a Microsoft Fabric Data Warehouse
3Lesson 3: Work with Semantic Models in Microsoft Fabric
Module 1: Create DAX Calculations in Semantic Models Module 2: Design Scalable Semantic Models Module 3: Optimize a Model for Performance in Power BI Module 4: Create and Manage Power BI Assets Module 5: Enforce Power BI Model Security
4Lesson 4: Administer and Govern Microsoft Fabric
Module 1: Administer a Microsoft Fabric Environment Module 2: Secure Data Access in Microsoft Fabric Module 3: Secure a Microsoft Fabric Data Warehouse Module 4: Govern Data in Microsoft Fabric with Purview
Certification & Credentials
Certificate track
32 hours (4 days)
Target Audience
Intended roles
- Business Intelligence Analyst
Frequently asked questions
Is this course suitable for beginners?
No, it’s intended for experienced data professionals.
What certification does this course support?
It supports the Fabric Analytics Engineer Associate certification.
Will I learn how to use notebooks and pipelines?
Yes, both are core components of the course.
Are hands-on labs included?
Yes, practical exercises are integrated throughout the course.
Can I take this course online?
Yes, both instructor-led and self-paced formats are available.
| Duration | 32 hours (4 days) |
|---|---|
| Modules | 4 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Business Intelligence Analyst |
| Prerequisites | Experience with data modeling and analytics, Familiarity with Power BI and PL-300 certification topics, Knowledge of SQL, KQL, or DAX programming languages, Understanding of enterprise data architecture |
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