DP-700T00: Microsoft Fabric Data Engineer

About This Course:

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.

Course Objectives:

• Connecting to various data sources

• Extract, transform, and load (ETL) processes using Dataflows and Pipelines

• Implementing Lakehouses & Warehouses

• Using OneLake storage for efficient data management

• Security best practices: Access control, encryption

• Implementing indexing, partitioning, and caching

• Monitoring query performance and optimizing data models

• Connecting Fabric data to Power BI for analysis and reporting

• Using AI-powered insights for data processing

Audience:

This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. 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).

Prerequisites:

• Familiarity with SQL, ETL processes, and data modeling

• Knowledge of Azure Data Services & Power BI is beneficial