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Microsoft Fabric Data Engineer

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...

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$2,380 USD
Duration 4 days
Course Code DP-700T00
Available Formats Classroom, Virtual

Overview

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.

Audience Profile

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).

Course Details

Outline

  • Ingest Data with Dataflows Gen2 in Microsoft Fabric
    • Understand Dataflows Gen2 in Microsoft Fabric
    • Explore Dataflows Gen2 in Microsoft Fabric
    • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
    • Exercise - Create and use a Dataflow Gen2 in Microsoft Fabric
    • Module assessment
  • Orchestrate processes and data movement with Microsoft Fabric
    • Understand pipelines
    • Use the Copy Data activity
    • Use pipeline templates
    • Run and monitor pipelines
    • Exercise - Ingest data with a pipeline
    • Module assessment
  • Use Apache Spark in Microsoft Fabric
    • Prepare to use Apache Spark
    • Run Spark code
    • Work with data in a Spark dataframe
    • Work with data using Spark SQL
    • Visualize data in a Spark notebook
    • Exercise - Analyze data with Apache Spark
    • Module assessment
  • Get started with Real-Time Intelligence in Microsoft Fabric
    • What is real-time data analytics?
    • Real-Time Intelligence in Microsoft Fabric
    • Ingest and transform real-time data
    • Store and query real-time data
    • Visualize real-time data
    • Automate actions
    • Exercise - Explore Real-Time Intelligence in Fabric
    • Module assessment
  • Use real-time eventstreams in Microsoft Fabric
    • Components of eventstreams
    • Eventstream sources and destinations
    • Eventstream transformations
    • Exercise - Ingest real-time data with Eventstream in Microsoft Fabric
    • Module assessment
  • Work with real-time data in a Microsoft Fabric eventhouse
    • Get started with an eventhouse
    • Use KQL effectively
    • Materialized views and stored functions
    • Exercise - Work with data in a Microsoft Fabric eventhouse
    • Module assessment
  • Introduction to end-to-end analytics using Microsoft Fabric
    • Explore end-to-end analytics with Microsoft Fabric
    • Explore data teams and Microsoft Fabric
    • Enable and use Microsoft Fabric
    • Module assessment
  • Get started with lakehouses in Microsoft Fabric
    • Explore the Microsoft Fabric lakehouse
    • Work with Microsoft Fabric lakehouses
    • Explore and transform data in a lakehouse
    • Exercise - Create a Microsoft Fabric lakehouse
    • Module assessment
  • Use Apache Spark in Microsoft Fabric
    • Prepare to use Apache Spark
    • Run Spark code
    • Work with data in a Spark dataframe
    • Work with data using Spark SQL
    • Visualize data in a Spark notebook
    • Exercise - Analyze data with Apache Spark
    • Module assessment
  • Work with Delta Lake tables in Microsoft Fabric
    • Understand Delta Lake
    • Create delta tables
    • Optimize delta tables
    • Work with delta tables in Spark
    • Use delta tables with streaming data
    • Exercise - Use delta tables in Apache Spark
    • Module assessment
  • Ingest Data with Dataflows Gen2 in Microsoft Fabric
    • Understand Dataflows Gen2 in Microsoft Fabric
    • Explore Dataflows Gen2 in Microsoft Fabric
    • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
    • Exercise - Create and use a Dataflow Gen2 in Microsoft Fabric
    • Module assessment
  • Orchestrate processes and data movement with Microsoft Fabric
    • Understand pipelines
    • Use the Copy Data activity
    • Use pipeline templates
    • Run and monitor pipelines
    • Exercise - Ingest data with a pipeline
    • Module assessment
  • Organize a Fabric lakehouse using medallion architecture design
    • Describe medallion architecture
    • Implement a medallion architecture in Fabric
    • Query and report on data in your Fabric lakehouse
    • Considerations for managing your lakehouse
    • Exercise - Organize your Fabric lakehouse using a medallion architecture
    • Module assessment
  • Get started with Real-Time Intelligence in Microsoft Fabric
    • What is real-time data analytics?
    • Real-Time Intelligence in Microsoft Fabric
    • Ingest and transform real-time data
    • Store and query real-time data
    • Visualize real-time data
    • Automate actions
    • Exercise - Explore Real-Time Intelligence in Fabric
    • Module assessment
  • Use real-time eventstreams in Microsoft Fabric
    • Components of eventstreams
    • Eventstream sources and destinations
    • Eventstream transformations
    • Exercise - Ingest real-time data with Eventstream in Microsoft Fabric
    • Module assessment
  • Work with real-time data in a Microsoft Fabric eventhouse
    • Get started with an eventhouse
    • Use KQL effectively
    • Materialized views and stored functions
    • Exercise - Work with data in a Microsoft Fabric eventhouse
    • Module assessment
  • Create Real-Time Dashboards with Microsoft Fabric
    • Get started with real-time dashboards
    • Advanced features
    • Real-Time Dashboard best practices
    • Exercise - Get started with real-time dashboards
    • Module assessment
  • Introduction to end-to-end analytics using Microsoft Fabric
    • Explore end-to-end analytics with Microsoft Fabric
    • Explore data teams and Microsoft Fabric
    • Enable and use Microsoft Fabric
    • Module assessment
  • Get started with data warehouses in Microsoft Fabric
    • Understand data warehouse fundamentals
    • Understand data warehouses in Fabric
    • Query and transform data
    • Prepare data for analysis and reporting
    • Secure and monitor your data warehouse
    • Exercise - Analyze data in a data warehouse
    • Module assessment
  • Load data into a Microsoft Fabric data warehouse
    • Explore data load strategies
    • Use data pipelines to load a warehouse
    • Load data using T-SQL
    • Load and transform data with Dataflow Gen2
    • Exercise: Load data into a warehouse in Microsoft Fabric
    • Module assessment
  • Query a data warehouse in Microsoft Fabric
    • Query data
    • Use the SQL query editor
    • Explore the visual query editor
    • Use client tools to query a warehouse
    • Exercise: Query a data warehouse in Microsoft Fabric
    • Module assessment
  • Monitor a Microsoft Fabric data warehouse
    • Monitor capacity metrics
    • Monitor current activity
    • Monitor queries
    • Exercise - Monitor a data warehouse in Microsoft Fabric
    • Module assessment
  • Secure a Microsoft Fabric data warehouse
    • Explore dynamic data masking
    • Implement row-level security
    • Implement column-level security
    • Configure SQL granular permissions using T-SQL
    • Exercise: Secure a warehouse in Microsoft Fabric
    • Module assessment
  • Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
    • Understand Continuous Integration and Continuous Delivery (CI/CD)
    • Implement version control and Git integration
    • Implement deployment pipelines
    • Automate CI/CD using Fabric APIs
    • Exercise: Implement deployment pipelines in Microsoft Fabric
    • Module assessment
  • Monitor activities in Microsoft Fabric
    • Understand monitoring
    • Use Microsoft Fabric Monitor Hub
    • Take action with Microsoft Fabric Activator
    • Exercise - Monitor Fabric activity in the Monitor hub
    • Module assessment
  • Secure data access in Microsoft Fabric
    • Understand the Fabric security model
    • Configure workspace and item permissions
    • Apply granular permissions
    • Exercise: Secure data access in Microsoft Fabric
    • Module assessment
  • Administer a Microsoft Fabric environment
    • Understand the Fabric Architecture
    • Understand the Fabric administrator role
    • Manage Fabric security
    • Govern data in Fabric
    • Module assessment
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Schedule

3 options available

  • Jul 21, 2025 - Jul 24, 2025 (4 days)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
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    Live Virtual |9:00AM 5:00PM EDT
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  • Sep 22, 2025 - Sep 25, 2025 (4 days)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
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    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
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  • Nov 17, 2025 - Nov 20, 2025 (4 days)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
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FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

The format of the class was concise. I learned new skills to use at my workplace.

Easy to use and exactly what I was looking for. Value for money was exceptional.

Class was easy to sign up for and ExitCertified provided very good communication

Fantastic and great training. Tons of hands-on labs to really make you understand the material being thought.

ExitCertified provided great learning material and the instructor was great.