Architecting Power BI Solutions in Microsoft Fabric [1 ed.] 9781837639564, 9781835082256, 9781835082287

Table of contents :
Part 1: Power BI Fundamentals Chevron down icon
Part 1: Power BI Fundamentals
Chapter 1: Decoding Power BI Chevron down icon
Chapter 1: Decoding Power BI
Technical requirements
Power BI overview
Power BI Desktop
The Power BI service
Power BI dataflows
Other Power BI components
Summary
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Chapter 2: Power BI Licensing Chevron down icon
Chapter 2: Power BI Licensing
Technical requirements
The Power BI free license
The Power BI Pro license
Fabric capacity
Power BI Premium per user
Power BI Premium per capacity
Licensing for Power BI Embedded applications
Power BI Report Server licensing
The Power BI licensing decision tree
Summary
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Chapter 3: Understanding Collaboration and Distribution in Power BI Chevron down icon
Chapter 3: Understanding Collaboration and Distribution in Power BI
Technical requirements
Introducing Power BI Workspace
Exploring roles and permissions in Power BI Workspaces
Sharing reports and semantic models
Publishing apps and reports
Sharing via app, Workspace role, or granular permission
Summary
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Chapter 4: Power BI Usage Patterns Chevron down icon
Chapter 4: Power BI Usage Patterns
Technical requirements
Introduction to Power BI usage patterns
Enterprise BI usage pattern
Self-service BI usage pattern
Managed self-service BI pattern
Summary
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Part 2: Designing Enterprise BI Solutions Chevron down icon
Part 2: Designing Enterprise BI Solutions
Chapter 5: Deciding on the Storage Mode Chevron down icon
Chapter 5: Deciding on the Storage Mode
Technical requirements
Choosing the storage mode
Understanding composite models
Exploring aggregations
Choosing the storage mode – continued
Summary
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Chapter 6: Deciding on an Intermediate Data Store Chevron down icon
Chapter 6: Deciding on an Intermediate Data Store
Technical requirements
Introducing dataflows
Introducing datamarts
Comparing dataflows and datamarts
Using a decision tree to decide between a dataflow and a datamart
Summary
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Chapter 7: Understanding Microsoft Fabric Chevron down icon
Chapter 7: Understanding Microsoft Fabric
Technical requirements
An overview of Fabric
Reviewing the Fabric architecture
Exploring Lakehouse and Data Warehouse
Comparing lakehouses, warehouses, dataflows, and datamarts
Summary
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Chapter 8: Managing Semantic Model Refresh Chevron down icon
Chapter 8: Managing Semantic Model Refresh
Technical requirements
Performing full semantic model refresh
Performing incremental refresh
Exploring advanced refresh techniques
Using a decision tree to decide the semantic model refresh method
Summary
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Chapter 9: Performing Optimizations in Power BI Chevron down icon
Chapter 9: Performing Optimizations in Power BI
Technical requirements
Optimizing a semantic model
Optimizing semantic model refresh
Performing report optimizations
Summary
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Chapter 10: Managing Semantic Model Security Chevron down icon
Chapter 10: Managing Semantic Model Security
Technical requirements
Understanding Power BI architecture and data storage
Designing data security
Configuring encryption at rest
Configuring object-level security
Implementing row-level security
Summary
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Chapter 11: Performing Power BI Deployments Chevron down icon
Chapter 11: Performing Power BI Deployments
Technical requirements
Certifying Power BI artifacts
Understanding deployment pipelines
Managing Power BI Git integrations
Summary
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Part 3: Power BI for Business Users Chevron down icon
Part 3: Power BI for Business Users
Chapter 12: Leveraging Artificial Intelligence in Power BI Chevron down icon
Chapter 12: Leveraging Artificial Intelligence in Power BI
Technical requirements
Exploring data using AI
Leveraging Copilot in Power BI
Leveraging AI in self-service BI scenarios
Summary
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Chapter 13: Integrating Power BI with Microsoft 365 Tools Chevron down icon
Chapter 13: Integrating Power BI with Microsoft 365 Tools
Technical requirements
Exploring Power BI semantic models using Excel
Experiencing Power BI with Microsoft PowerPoint
Collaborating on Microsoft Teams with Power BI apps
Summary
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Part 4: Power BI for Data Scientists Chevron down icon
Part 4: Power BI for Data Scientists
Chapter 14: Uncovering Features of Power BI for Data Scientists Chevron down icon
Chapter 14: Uncovering Features of Power BI for Data Scientists
Technical requirements
Decoding the data science process
Understanding Fabric’s data science architecture
Developing machine learning model using AutoML
Understanding Fabric semantic link
Exploring visualization features for data scientists
Exploring Power BI integration with AI Insights
Summary
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Part 5: Power BI for Administrators Chevron down icon
Part 5: Power BI for Administrators
Chapter 15: Protecting Data Using Microsoft Purview and Defender Chevron down icon
Chapter 15: Protecting Data Using Microsoft Purview and Defender
Technical requirements
Protecting data using sensitivity labels
Configuring Microsoft Defender for Cloud Apps for Power BI
Preventing data leaks using data loss prevention policies
Controlling access using protection policies
Securing Power BI using Conditional Access policies
Summary
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Chapter 16: Designing Power BI Governance Chevron down icon
Chapter 16: Designing Power BI Governance
Technical requirements
Understanding the key responsibilities in Power BI
Unpacking designing a governance model
Designing Power BI governance model for enterprise BI
Designing Power BI governance model for managed self-service BI
Designing Power BI governance model for self-service BI
Summary
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Chapter 17: Managing Fabric Capacities Chevron down icon
Chapter 17: Managing Fabric Capacities
Technical requirements
Understanding Fabric capacities
Demystifying the concepts of bursting, smoothing, and throttling
Monitoring Fabric capacities
Managing capacities
Devising capacity management strategies
Summary
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Index Chevron down icon
Index
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