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Implement data engineering solutions using Microsoft Fabric (DP-700T00)

Build enterprise data engineering solutions in Microsoft Fabric using lakehouses, pipelines, Spark, real-time analytics, security, monitoring, and CI/CD.

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$2,445.10
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Course Overview

Learn methods and practices for implementing enterprise-scale data engineering solutions with Microsoft Fabric. This course covers effective data-loading patterns, data architectures, orchestration processes, data ingestion and transformation, and the security, management, and monitoring of data engineering solutions.

Designed for data professionals with experience in data integration, orchestration, and extract, transform, and load (ETL) processes, the course explores lakehouses, data warehouses, Apache Spark, real-time analytics, and related Microsoft Fabric capabilities.

Course Benefits

  • Design and implement effective data-loading patterns and data architectures in Microsoft Fabric.
  • Ingest and transform data with Dataflows Gen2, pipelines, Apache Spark, Spark SQL, and Delta Lake.
  • Build and manage Fabric lakehouses using medallion architecture principles.
  • Orchestrate, run, and monitor data movement with Microsoft Fabric pipelines.
  • Implement real-time analytics with Eventstream, Eventhouse, KQL, dashboards, and Activator.
  • Load, query, secure, and monitor Microsoft Fabric data warehouses.
  • Configure version control, deployment pipelines, and CI/CD automation for Fabric solutions.
  • Apply workspace, item, and granular data-access permissions.
  • Monitor Fabric activities and administer security and governance in a Fabric environment.

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .
Private Class
Delivered for your team at your site or online.

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).

Microsoft Certified Partner

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
    4. Module assessment
  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
    5. Module assessment
  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
    6. Module assessment
  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
    4. Module assessment
  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
    4. Module assessment
  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
    4. Module assessment
  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
    6. Module assessment
  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
    6. Module assessment
  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
    4. Module assessment
  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
    5. Module assessment
  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
    5. Module assessment
  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
    7. Module assessment
  13. Use Eventstream in Microsoft Fabric
    1. Components of Eventstream
    2. Eventstream sources and destinations
    3. Eventstream transformations
    4. Module assessment
  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
    4. Module assessment
  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
    4. Module assessment
  16. Use Activator in Microsoft Fabric
    1. Configure Activator for your data
    2. Create rules in Activator
    3. Configure actions in Activator
    4. Module assessment
  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
    4. Module assessment
  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
    6. Module assessment
  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
    5. Module assessment
  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
    5. Module assessment
  21. Monitor a Microsoft Fabric Data Warehouse
    1. Monitor capacity metrics
    2. Monitor current activity
    3. Monitor queries
    4. Module assessment
  22. Secure a Microsoft Fabric Data Warehouse
    1. Explore dynamic data masking
    2. Implement row-level security
    3. Implement column-level security
    4. Configure granular SQL permissions using T-SQL
    5. Module assessment
  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
    5. Module assessment
  24. Monitor Activities in Microsoft Fabric
    1. Understand monitoring
    2. Use Microsoft Fabric Monitor Hub
    3. Take action with Microsoft Fabric Activator
    4. Module assessment
  25. Secure Data Access in Microsoft Fabric
    1. Understand the Fabric security model
    2. Configure workspace and item permissions
    3. Apply granular permissions
    4. Module assessment
  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
    5. Module assessment
  27. Use Activator in Microsoft Fabric
    1. Configure Activator for your data
    2. Create rules in Activator
    3. Configure actions in Activator
    4. Module assessment

Class Materials

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

Class Prerequisites

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

Participants should have experience with data integration and orchestration, including extracting, transforming, and loading data. They should also have experience manipulating and transforming data with at least one of the following: SQL, PySpark, or Kusto Query Language (KQL).

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