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.
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Course Outline
1. 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
2. Orchestrate processes and data movement with Microsoft Fabric
• Understand pipelines
• Use the Copy Data activity
• Use pipeline templates
• Run and monitor pipelines
3. 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
4. Work with real-time data in an Eventhouse in Microsoft Fabric
• Get started with an Eventhouse
• Use KQL effectively
• Materialized views and stored functions
5. 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
6. Get started with lakehouses in Microsoft Fabric
• Describe lakehouse features and capabilities
• Ingest and transform data in a lakehouse
• Query and analyze lakehouse data
7. 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
8. Organize a Fabric lakehouse using medallion architecture design
• Describe medallion architecture
• Plan a medallion architecture in Fabric
• Query and report on data in your Fabric lakehouse
• Secure and govern your medallion lakehouse
9. Get started with Real-Time Intelligence in Microsoft Fabric
• What is 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
10. Use Eventstream in Microsoft Fabric
• Components of Eventstream
• Eventstream sources and destinations
• Eventstream transformations
11. Create Real-Time Dashboards with Microsoft Fabric
• Get started with real-time dashboards
• Organize and filter dashboard data
• Dashboard management and optimization
12. Use Activator in Microsoft Fabric
• Configure Activator for your data
• Create rules in Activator
• Configure actions in Activator
13. Get started with data warehouses in Microsoft Fabric
• Understand data warehouses
• Understand data warehouses in Fabric
• Query and transform data
• Model data in a warehouse
• Secure and monitor a warehouse
14. 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
15. 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
16. Get started with Copilot in Microsoft Fabric for Data Warehouse
• Use Copilot code completion in Microsoft Fabric’s Data Warehouse
• Use Copilot chat in Microsoft Fabric’s Data Warehouse
• Use Copilot quick actions in Microsoft Fabric’s Data Warehouse
• Review best practices using Copilot in Microsoft Fabric’s Data Warehouse
17. Monitor a Microsoft Fabric data warehouse
• Monitor capacity metrics
• Monitor current activity
• Monitor queries
18. 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
19. 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
20. Monitor activities in Microsoft Fabric
• Understand monitoring
• Use the Microsoft Fabric monitoring hub
• Respond to Fabric events with Activator
21. Secure data access in Microsoft Fabric
• Understand the Fabric security model
• Configure workspace and item permissions
• Apply granular permissions
Course Details
• Familiarity with the Microsoft Fabric interface and core concepts is recommended (listed for all five learning paths).
This audience for this course is data professionals with experience in data 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).
For online (live) format
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