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.
This course is an official 4-day Microsoft course. The SQL Master Academy team has added one extra day with additional content to provide more time for examples, exercises, and demonstrations.

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).

• Ingest and transform data using Dataflows Gen2 in Microsoft Fabric
• Build and monitor data pipelines for seamless orchestration
• Capture, analyze, and visualize real-time event data with Eventstreams
• Create lakehouses and query data with Spark and SQL
• Implement medallion architecture for efficient data organization
• Secure data access and manage permissions within Microsoft Fabric
• Develop real-time dashboards for actionable insights
• Automate deployments with CI/CD and monitor activities using Monitoring Hub

Module 1. Implement a data warehouse with Microsoft Fabric

Module 2. Ingest data with Microsoft Fabric

Module 3. Implement a Lakehouse with Microsoft Fabric

Module 4. Implement Real-Time Intelligence with Microsoft Fabric

Module 5. Manage a Microsoft Fabric environment