One Platform. Every Data Skill. One Certification That Proves It.
Book Description
Build the Data Platform. Engineer the Analytics. Prove Your Skills with DP-600.
Microsoft Fabric brings together data engineering, data science, real-time analytics, and business intelligence into a single unified platform - and mastering it is becoming one of the most valuable skills in modern data engineering. Ultimate Microsoft Fabric for Data Analytics Solutions is a comprehensive guide to both the platform and the DP-600 Analytics Engineer Associate certification, covering every exam objective through practical enterprise scenarios.
You begin with tenant settings and Microsoft Fabric architecture, then advance through Lakehouse design, Data Factory pipelines with low-code and code-first ETL, advanced data science workflows with MLflow model tracking, OneLake storage and shortcuts, and real-time intelligence using Event streams. Every chapter integrates hands-on labs that reflect real-world data scenarios across PySpark, Scala, and SQL environments.
The final section covers Power BI, semantic models, Copilot AI integration, and real-world case studies, before closing with DP-600 certification preparation, including practice questions that replicate the format and depth of the live exam.
What you will learn
● Design and implement end-to-end data architectures using the unified Microsoft Fabric platform.
● Build low-code and code-first ETL pipelines using Data Factory, Dataflows, and Notebooks.
● Store and manage scalable data using OneLake, Lakehouse architecture, and external shortcuts.
● Process real-time data streams using Event streams for ingestion, alerting, and intelligence.
● Develop Machine Learning (ML) workflows and track models across experiments using MLflow.
● Prepare for and pass the DP-600 certification exam using targeted practice questions and answers.
Table of Contents
1. Getting Started with Microsoft Fabric
2. Setting up Your Microsoft Fabric Environment
3. Data Engineering Implementation
4. Data Factory Implementation
5. Advanced Data Science Experience in Microsoft Fabric
6. Lake-Centric Data Warehousing with OneLake
7. Real-Time Intelligence in Fabric
8. Analytics with Power BI and Semantic Models in Microsoft Fabric
9. Real-World Applications and Case Studies
10. Conclusion and Next Steps
Index
