Introduction
Introduction to Microsoft Fabric
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1. Get Started with Microsoft Fabric
Understand challenges in data analytics
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Appreciate the Microsoft Fabric vision
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Enable Microsoft Fabric on an existing Power BI tenant
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Set up a new Microsoft Fabric tenant
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Choose the right Fabric license
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2. Explore the Microsoft Fabric Platform
Learning objectives
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Understand OneLake
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Organize data in a data warehouse
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Organize data in a lakehouse
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Load and transform data through pipelines and dataflows
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Analyze data with semantic models and reports
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Work with data through notebooks
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Apply advanced data science
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Implement real-time analytics
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Act on your data with Data Activator
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Monitor and manage with Purview
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Choose roles in Fabric
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3. Load Data into Fabric
Create a pipeline to load data
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Configure shortcuts
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Synchronize data with the OneLake explorer
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Use a notebook to turn files into tables
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Learning objectives
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4. Load and Transform Data with Dataflows
Learning objectives
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Create a dataflow to load data
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Use a dataflow to turn files into tables
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Transform data with dataflows
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5. Manage Data with Fabric Warehouse
Learning objectives
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Apply T-SQL to set up a warehouse
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Query data
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Create reports with the default semantic model
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6. Manage Data with Fabric Lakehouse
Learning objectives
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Set up a lakehouse
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Query the SQL analytics endpoint
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Create reports with the default semantic model
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Create a custom semantic model on lakehouse data
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7. Analyze Data through Semantic Models
Learning objectives
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Understand Direct Lake
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Create DAX measures
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Create visual reports
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Create paginated reports
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8. Apply Real-Time Analytics
Learning objectives
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Ingest streaming data in Fabric
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Configure a KQL database
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Set up a streaming semantic model
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Build real-time reports
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9. Take Action through Data Activator
Learning objectives
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Understand Data Activator
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Set up triggers
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10. Apply Data Science
Learning objectives
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Run ML experiments in Fabric
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Predict outcomes using ML models
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11. Manage Fabric Usage
Learning objectives
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Get insights through the Purview hub
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Access admin monitoring
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