Implementing Data Engineering Solutions Using Microsoft Fabric

Module 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

Module 2 : Orchestrate Processes and Data Movement with Microsoft Fabric

• Understand pipelines
• Use the Copy Data activity
• Use pipeline templates
• Run and monitor pipelines

Module 3 : 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

Module 4 : Use Real-Time Eventstreams in Microsoft Fabric

• Components of eventstreams
• Eventstream sources and destinations
• Eventstream transformations

Module 5 : Work with real-time data in a Microsoft Fabric eventhouse

• Get started with an eventhouse
• Use KQL effectively
• Materialized views and stored functions

Module 6 : Introduction to end-to-end analytics using Microsoft Fabric

• Explore end-to-end analytics with Microsoft Fabric
• Data teams and Microsoft Fabric
• Enable and use Microsoft Fabric

Module 7 : Get started with lakehouses in Microsoft Fabric

• Explore the Microsoft Fabric lakehouse
• Work with Microsoft Fabric lakehouses
• Explore and transform data in a lakehouse

Module 8 : 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

Module 9 : 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

Module 10 : 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

Module 11 : Create Real-Time Dashboards with Microsoft Fabric

• Get started with real-time dashboards
• Advanced features
• Real-Time Dashboard best practices

Module 12 : 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

Module 13 : 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

Module 14 : 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

Module 15 : Monitor a Microsoft Fabric data warehouse

• Monitor capacity metrics
• Monitor current activity
• Monitor queries

Module 16 : 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

Module 17 : 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 18 : Monitor activities in Microsoft Fabric

• Understand monitoring
• Use Microsoft Fabric Monitor Hub
• Take action with Microsoft Fabric Activator

Module 19 : Secure data access in Microsoft Fabric

• Understand the Fabric security model
• Configure workspace and item permissions
• Apply granular permissions

Module 20 : Administer a Microsoft Fabric environment

• Understand the Fabric Architecture
• Understand the Fabric administrator role
• Manage Fabric security
• Govern data in Fabric