DP-600: Microsoft Fabric Analytics Engineer
Reference : MS DP-600Educational objectives
At the end of this “DP-600” course, participants should be able to:
- Understand the fundamentals of end-to-end analytics using Microsoft Fabric, enabling a holistic view of data analytics processes.
- Administer and manage Microsoft Fabric environments effectively, ensuring smooth operation and maintenance.
- Master Dataflows Gen2 in Microsoft Fabric for efficient data ingestion and processing.
- Gain proficiency in using Spark and Microsoft Fabric notebooks for data ingestion and exploratory data analysis.
- Create and manage Data Factory pipelines, enhancing data integration and workflow automation in Microsoft Fabric.
- Get started with lakehouses in Microsoft Fabric, learning how to leverage them for combining the best elements of data lakes and data warehouses.
- Organize a Fabric lakehouse using the medallion architecture design to optimize data storage and access patterns.
Course programme
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. This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
Who is this course for?
Public
The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Prerequisites
Before starting this course, participants should have:
- A foundational knowledge of core data concepts and how they’re implemented using Microsoft data services
- Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI