Microsoft Fabric Data Engineer

Microsoft Fabric Data Engineer (DP-700T00)

Course Length: 4 days
Delivery Methods: Multiple delivery options
Course 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.

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.

Course Benefits
  • Ingest and integrate diverse datasets with Dataflows Gen2.
  • Optimize data workflows with robust orchestration tools.
  • Enhance analytical capabilities through real-time intelligence.
  • Streamline event-driven data processing with eventstreams.
  • Leverage KQL for efficient querying in eventhouses.
  • Implement comprehensive end-to-end analytics solutions.
  • Maximize data management using lakehouses and medallion architecture.
  • Utilize Apache Spark for powerful data transformations.
  • Improve data performance with Delta Lake tables.
  • Create interactive, real-time dashboards for data visualization.
  • Secure and monitor data warehouses effectively.
  • Facilitate continuous integration and delivery in data projects.
  • Enhance data security and access controls within Microsoft Fabric.
  • Administer and maintain a robust data infrastructure.
Available Delivery Methods
Public Class
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline
  1. Ingest Data with Dataflows Gen2 in Microsoft Fabric
    1. Understand Dataflows Gen2 in Microsoft Fabric
    2. Explore Dataflows Gen2 in Microsoft Fabric
    3. Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
  2. Orchestrate processes and data movement with Microsoft Fabric
    1. Understand pipelines
    2. Use the Copy Data activity
    3. Use pipeline templates
    4. Run and monitor pipelines
  3. Use Apache Spark in Microsoft Fabric
    1. Prepare to use Apache Spark
    2. Run Spark code
    3. Work with data in a Spark dataframe
    4. Work with data using Spark SQL
    5. Visualize data in a Spark notebook
  4. Work with real-time data in an Eventhouse in Microsoft Fabric
    1. Get started with an Eventhouse
    2. Use KQL effectively
    3. Materialized views and stored functions
  5. Introduction to end-to-end analytics using Microsoft Fabric
    1. Explore end-to-end analytics with Microsoft Fabric
    2. Explore data teams and Microsoft Fabric
    3. Enable and use Microsoft Fabric
  6. Get started with lakehouses in Microsoft Fabric
    1. Explore the Microsoft Fabric lakehouse
    2. Work with Microsoft Fabric lakehouses
    3. Explore and transform data in a lakehouse
  7. Use Apache Spark in Microsoft Fabric
    1. Prepare to use Apache Spark
    2. Run Spark code
    3. Work with data in a Spark dataframe
    4. Work with data using Spark SQL
    5. Visualize data in a Spark notebook
  8. Work with Delta Lake tables in Microsoft Fabric
    1. Understand Delta Lake
    2. Create delta tables
    3. Optimize delta tables
    4. Work with delta tables in Spark
    5. Use delta tables with streaming data
  9. Ingest Data with Dataflows Gen2 in Microsoft Fabric
    1. Understand Dataflows Gen2 in Microsoft Fabric
    2. Explore Dataflows Gen2 in Microsoft Fabric
    3. Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
  10. Orchestrate processes and data movement with Microsoft Fabric
    1. Understand pipelines
    2. Use the Copy Data activity
    3. Use pipeline templates
    4. Run and monitor pipelines
  11. Organize a Fabric lakehouse using medallion architecture design
    1. Describe medallion architecture
    2. Implement a medallion architecture in Fabric
    3. Query and report on data in your Fabric lakehouse
    4. Considerations for managing your lakehouse
  12. Get started with Real-Time Intelligence in Microsoft Fabric
    1. What is real-time data analytics?
    2. Real-Time Intelligence in Microsoft Fabric
    3. Ingest and transform real-time data
    4. Store and query real-time data
    5. Visualize real-time data
    6. Automate actions
  13. Use Eventstream in Microsoft Fabric
    1. Components of Eventstream
    2. Eventstream sources and destinations
    3. Eventstream transformations
  14. Work with real-time data in an Eventhouse in Microsoft Fabric
    1. Get started with an Eventhouse
    2. Use KQL effectively
    3. Materialized views and stored functions
  15. Create Real-Time Dashboards with Microsoft Fabric
    1. Get started with real-time dashboards
    2. Organize and filter dashboard data
    3. Dashboard management and optimization
  16. Use Activator in Microsoft Fabric
    1. Configure Activator for your data
    2. Create rules in Activator
    3. Configure actions in Activator
  17. Introduction to end-to-end analytics using Microsoft Fabric
    1. Explore end-to-end analytics with Microsoft Fabric
    2. Explore data teams and Microsoft Fabric
    3. Enable and use Microsoft Fabric
  18. Get started with data warehouses in Microsoft Fabric
    1. Understand data warehouse fundamentals
    2. Understand data warehouses in Fabric
    3. Query and transform data
    4. Prepare data for analysis and reporting
    5. Secure and monitor your data warehouse
  19. Load data into a Microsoft Fabric data warehouse
    1. Explore data load strategies
    2. Use data pipelines to load a warehouse
    3. Load data using T-SQL
    4. Load and transform data with Dataflow Gen2
  20. Query a data warehouse in Microsoft Fabric
    1. Query data
    2. Use the SQL query editor
    3. Explore the visual query editor
    4. Use client tools to query a warehouse
  21. Monitor a Microsoft Fabric data warehouse
    1. Monitor capacity metrics
    2. Monitor current activity
    3. Monitor queries
  22. Secure a Microsoft Fabric data warehouse
    1. Explore dynamic data masking
    2. Implement row-level security
    3. Implement column-level security
    4. Configure SQL granular permissions using T-SQL
  23. Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
    1. Understand Continuous Integration and Continuous Delivery (CI/CD)
    2. Implement version control and Git integration
    3. Implement deployment pipelines
    4. Automate CI/CD using Fabric APIs
  24. Monitor activities in Microsoft Fabric
    1. Understand monitoring
    2. Use Microsoft Fabric Monitor Hub
    3. Take action with Microsoft Fabric Activator
  25. Secure data access in Microsoft Fabric
    1. Understand the Fabric security model
    2. Configure workspace and item permissions
    3. Apply granular permissions
  26. Administer a Microsoft Fabric environment
    1. Understand the Fabric Architecture
    2. Understand the Fabric administrator role
    3. Manage Fabric security
    4. Govern data in Fabric
Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Microsoft Fabric class:

Before taking this course, students 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).

Live Public Class
$2,445.10 / student
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Live Private Class
  • Private Class for your Team
  • Live training
  • Online or On-location
  • Customizable
  • Expert Instructors
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