Microsoft

Implement Data Engineering Solutions Using Microsoft Fabric DP-700

  • 4 days
  • 5 upcoming dates 5 open for booking
  • $2,495 per seat

Upcoming dates

Dates Where Status Seat Book
Dec 8–11 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Feb 9–12 2027 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
May 11–14 2027 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Aug 3–6 2027 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Nov 9–12 2027 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495

See every class on the schedule

About this class

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.

Who this is for

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.

What you'll be able to do

  • Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • Orchestrate processes and data movement with Microsoft Fabric
  • Use Apache Spark in Microsoft Fabric
  • Work with real-time data in an Eventhouse in Microsoft Fabric
  • Introduction to end-to-end analytics using Microsoft Fabric
  • 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
  • Orchestrate processes and data movement with Microsoft Fabric
  • Organize a Fabric lakehouse using medallion architecture design
  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Use Eventstream in Microsoft Fabric
  • Work with real-time data in an Eventhouse in Microsoft Fabric
  • Create Real-Time Dashboards with Microsoft Fabric
  • Use Activator in Microsoft Fabric
  • Introduction to end-to-end analytics using Microsoft Fabric
  • Get started with data warehouses in Microsoft Fabric
  • Load data into a Microsoft Fabric data warehouse
  • Query a data warehouse in Microsoft Fabric
  • Monitor a Microsoft Fabric data warehouse
  • Secure a Microsoft Fabric data warehouse
  • Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
  • Monitor activities in Microsoft Fabric
  • Secure data access in Microsoft Fabric
  • Administer a Microsoft Fabric environment
  • Use Activator in Microsoft Fabric

Before you attend

Prior to attending this course, learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and data warehouse concepts. In addition, they should have foundational knowledge of Azure security, including Microsoft Entra ID, and be familiar with Git version control fundamentals.

Course outline

  1. Module 1Ingest 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
    • Module assessment
  2. Module 2Orchestrate processes and data movement with Microsoft Fabric

    • Understand pipelines
    • Use the Copy Data activity
    • Use pipeline templates
    • Run and monitor pipelines
    • Module assessment
  3. Module 3Use 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
  4. Module 4Work with real-time data in an Eventhouse in Microsoft Fabric

    • Get started with an Eventhouse
    • Use KQL effectively
    • Materialized views and stored functions
    • Module assessment
  5. Module 5Introduction 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
  6. Module 6Get started with lakehouses in Microsoft Fabric

    • Explore the Microsoft Fabric lakehouse
    • Work with Microsoft Fabric lakehouses
    • Explore and transform data in a lakehouse
    • Module assessment
  7. Module 7Use 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
    • Module assessment
  8. Module 8Work 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
    • Module assessment
  9. Module 9Ingest 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
  10. Module 10Orchestrate processes and data movement with Microsoft Fabric

    • Understand pipelines
    • Use the Copy Data activity
    • Use pipeline templates
    • Run and monitor pipelines
    • Module assessment
  11. Module 11Organize 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
    • Module assessment
  12. Module 12Get 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
    • Module assessment
  13. Module 13Use Eventstream in Microsoft Fabric

    • Components of Eventstream
    • Eventstream sources and destinations
    • Eventstream transformations
    • Module assessment
  14. Module 14Work with real-time data in an Eventhouse in Microsoft Fabric

    • Get started with an Eventhouse
    • Use KQL effectively
    • Materialized views and stored functions
  15. Module 15Create Real-Time Dashboards with Microsoft Fabric

    • Get started with real-time dashboards
    • Organize and filter dashboard data
    • Dashboard management and optimization
    • Module assessment
  16. Module 16Use Activator in Microsoft Fabric

    • Configure Activator for your data
    • Create rules in Activator
    • Configure actions in Activator
    • Module assessment
  17. Module 17Introduction 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
  18. Module 18Get 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
    • Module assessment
  19. Module 19Load 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
    • Module assessment
  20. Module 20Query 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
  21. Module 21Monitor a Microsoft Fabric data warehouse

    • Monitor capacity metrics
    • Monitor current activity
    • Monitor queries
    • Module assessment
  22. Module 22Secure a Microsoft Fabric data warehouse

    • Explore dynamic data masking
    • Implement row-level security
    • Implement column-level security
    • Configure SQL granular permissions using T-SQL
    • Module assessment
    • Module 23: 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
    • Module assessment
  23. Module 24Monitor activities in Microsoft Fabric

    • Understand monitoring
    • Use Microsoft Fabric Monitor Hub
    • Take action with Microsoft Fabric Activator
    • Module assessment
  24. Module 25Secure data access in Microsoft Fabric

    • Understand the Fabric security model
    • Configure workspace and item permissions
    • Apply granular permissions
    • Module assessment
  25. Module 26Administer a Microsoft Fabric environment

    • Understand the Fabric Architecture
    • Understand the Fabric administrator role
    • Manage Fabric security
    • Govern data in Fabric
  26. Module 27Use Activator in Microsoft Fabric

    • Configure Activator for your data
    • Create rules in Activator
    • Configure actions in Activator

Download the full outline (PDF)

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