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DP-700T00: Implement Data Engineering Solutions using Microsoft Fabric

By Ginger Grant
4 Days
Live Class Recording
April 6, 2026
Courseware

Courseware is available for this class. Click here to view in a new tab/window.

Course Description

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 data professionals with some data integration and orchestration experience.

What you will learn

With a focus on practical applications, the course covers:

  • Big data
  • Data analytics
  • Data engineering
  • Data integration
  • Data management

What products and services will you use and learn about in this course

  • OneLake
  • Data Factory
  • Dataflows Gen2
  • Lakehouse
  • Data Warehouse
  • Real-Time Intelligence (Real-time Analytics )
  • KQL Database & Kusto Query Language (KQL
  • Notebooks
  • Activator
  • PySpark (Python)
  • T-SQL (Transact-SQL)
  • KQL

Prepare for the Microsoft Certified: Fabric Data Engineer Associate Certification  

This course is designed to help students confidently prepare for the DP-700: Microsoft Certified: Fabric Data Engineer Associate exam.

Note: To pass the certification test, studying outside the course may be required to ensure all the concepts are fully understood.

Course Outline

Learning Path: Explore end-to-end analytics with Microsoft Fabric

Modules:

  • Introduction
  • Get started with lakehouses in Microsoft Fabric
  • Use Apache Spark in Microsoft Fabric
  • Work with Delta Lake tables in Microsoft Fabric
  • Ingest data with Dataflows (Gen2) in Microsoft Fabric

Exercise:

  • Create and ingest data with a Microsoft Fabric lakehouse
  • Analyze data with Apache Spark
  • Use delta tables in Apache Spark
  • Create and use a Dataflow Gen2 in Microsoft Fabric

 

Learning Path: Orchestrate processes and data movement

Modules:

  • Organize a Fabric lakehouse using medallion architecture design
  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Use real time eventstreams in Microsoft Fabric
  • Work with real-time data in a Microsoft Fabric eventhouse

Exercises

  • Ingest data with a pipeline
  • Organize your Fabric lakehouse using a medallion architecture
  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Ingest real-time data with Eventstreams in Microsoft Fabric
  • Work with data in a Microsoft Fabric eventhouse

 

Learning Path: Create Real-Time Dashboards Use Activator

Modules:

  • Get started with data warehouses in Microsoft Fabric
  • Load data into a Microsoft Fabric data warehouse
  • Fabric SQL DB
  • Monitor a Microsoft Fabric data warehouse
  • Secure a Microsoft Fabric data warehouse
  • Tools for Fabric – VS Code

Exercises:

  • Get started with Analyzing in data warehouse
  • Load data into a Microsoft Fabric data warehouse
  • Work with SQL Database in Microsoft Fabric
  • Monitor a data warehouse in Microsoft Fabric

 

Learning Path: Implement continuous integration/continuous delivery (CI/CD)

Modules:

  • Introduction
  • Monitor activities in Microsoft
  • One Lake security
  • Secure data access in Microsoft Fabric
  • Administer Microsoft Fabric

Exercises:

  • Implement deployment pipelines in Microsoft Fabric
  • Use Activator in Fabric
  • Monitor Fabric activity in the Monitor hub
  • Secure data access in Microsoft Fabric
Course Content
Introduction
Introduction
Learning Path: Explore end-to-end analytics with Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Get started with lakehouses in Microsoft Fabric (Continuation after break)
Get started with lakehouses in Microsoft Fabric (Continuation after lab)
Use Apache Spark in Microsoft Fabric
Use Apache Spark in Microsoft Fabric (Continuation after lab)
Work with Delta Lake tables in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric (Continuation after lab)
Ingest data with Dataflows (Gen2) in Microsoft Fabric
Learning Path: Orchestrate processes and data movement
Orchestrate processes and data movement with Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric (Continuation after lab)
Organize a Fabric lakehouse using medallion architecture design
Organize a Fabric lakehouse using medallion architecture design (Continuation after lab)
Get started with Real-Time Intelligence in Microsoft Fabric
Get started with Real-Time Intelligence in Microsoft Fabric (Continuation after lab)
Use real time eventstreams in Microsoft Fabric
Use real time eventstreams in Microsoft Fabric (Continuation after lab)
Learning Path: Create Real-Time Dashboards Use Activator
Get started with data warehouses in Microsoft Fabric
Get started with data warehouses in Microsoft Fabric (Continuation after lab)
Load data into a Microsoft Fabric data warehouse
Load data into a Microsoft Fabric data warehouse (Continuation after lab)
Fabric SQL DB
Fabric SQL DB (Continuation after lab)
Monitor a Microsoft Fabric data warehouse
Monitor a Microsoft Fabric data warehouse (Continuation after lab)
Secure a Microsoft Fabric data warehouse
Tools for Fabric - VS Code
Learning Path: Implement continuous integration/continuous delivery (CI/CD)
Introduction
Introduction (Continuation after break)
Monitor activities in Microsoft Fabric
Monitor activities in Microsoft Fabric (Continuation after lab)
One Lake security
Secure data access in Microsoft Fabric
Secure data access in Microsoft Fabric (Continuation after lab)
Administer Microsoft Fabric