This course covers methods and practices to implement and manage data engineering solutions by using Microsoft Fabric.

Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. The primary objectives for this course include ingesting and transforming data, securing and managing data engineering solutions, and monitoring and optimization.

This course is designed for experienced data professionals skilled at data integration, loading, and orchestration, such as those in the DP-203: Azure Data Engineer certification.

Audience: 

DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics.

The audience for this course is data professionals with experience in:

• Data extraction
• Transformation
• Loading

Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).