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‎0_Azure/2_AzureAnalytics/0_Fabric/demos/39_Domo2Fabric.md‎

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C --> L[Role-based Experiences]
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```
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<div align="center">
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<img src="https://github.com/user-attachments/assets/8fdb3198-8fda-4dd0-869e-b0dccb268a30" alt="Centered Image" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/>
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</div>
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From [Microsoft Documentation](https://learn.microsoft.com/pt-br/fabric/fundamentals/microsoft-fabric-overview)
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| Feature | Domo | Microsoft Fabric |
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|------------------------|----------------------------------------------------------------------|----------------------------------------------------------------------------------|
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| **Data Visualization** | Cards, dashboards, and stories | Power BI for advanced, interactive visualizations |
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| **Dashboards** | Drag-and-drop dashboard builder | Unified reporting and dashboard experience |
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| **Data Connectivity** | 1000+ connectors, Domo Workbench | Azure Data Factory, Synapse, Power Query, and more |
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| **Ease of Use** | Intuitive UI, Appstore, Magic ETL | SaaS model, low-code/no-code, Power Query |
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| **Advanced Analytics** | Beast Modes, Data Science tools, AI/ML apps | Built-in AI, DAX, Python/R integration, Copilot |
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| **Unified Platform** | Focused on business intelligence and apps | End-to-end analytics: ingestion, transformation, modeling, visualization |
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| **Role-Specific** | Business users, analysts, IT, data scientists | Tailored experiences for engineers, scientists, business users |
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<details>
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<summary><b>Data Visualization</b> – Click to expand</summary>
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</details>
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<details>
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<summary><b> Domo Workbench & Fabric (Pull/Push) </b> – Click to expand</summary>
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> In most modern data architectures, the `standard approach is to pull data from input sources into the analytics or ETL platform`.
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> Data is typically extracted from source systems using scheduled or event-driven pull methods, where the analytics or ETL platform manages and initiates the data ingestion process.
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- **Domo Workbench** operates differently, it’s a **push-based tool** that runs on-premise and sends data directly to Domo.
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- **Microsoft Fabric**, is primarily **pull-based**, but it can simulate push behavior. This flexibility allows Fabric to accommodate both traditional pull workflows and modern push-style integrations when needed.
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Through:
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- **Uploading files** to OneLake using APIs, `azcopy`, or automation tools.
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- **Eventstream** for real-time data ingestion.
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- **Triggering pipelines** from external systems using REST APIs or Logic Apps.
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</details>
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<details>
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<summary><b>Ease of Use</b> – Click to expand</summary>
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</details>
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| Feature | Domo | Microsoft Fabric |
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|------------------------|----------------------------------------------------------------------|----------------------------------------------------------------------------------|
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| **Data Visualization** | Cards, dashboards, and stories | Power BI for advanced, interactive visualizations |
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| **Dashboards** | Drag-and-drop dashboard builder | Unified reporting and dashboard experience |
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| **Data Connectivity** | 1000+ connectors, Domo Workbench | Azure Data Factory, Synapse, Power Query, and more |
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| **Ease of Use** | Intuitive UI, Appstore, Magic ETL | SaaS model, low-code/no-code, Power Query |
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| **Advanced Analytics** | Beast Modes, Data Science tools, AI/ML apps | Built-in AI, DAX, Python/R integration, Copilot |
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| **Unified Platform** | Focused on business intelligence and apps | End-to-end analytics: ingestion, transformation, modeling, visualization |
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| **Role-Specific** | Business users, analysts, IT, data scientists | Tailored experiences for engineers, scientists, business users |
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## Migration Considerations
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| Category | Domo Approach | Microsoft Fabric Approach |
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|------------------------|---------------|--------------------------|
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| **Data Ingestion** | Connectors, Workbench, Dataflows | Data Factory, Power Query, Dataflows, Direct Lake |
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| **Data Modelling** | Dataflows, Joins, Beast Modes | Dataflows, DAX, Star Schema, Relationships |
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| **Visualizations** | Cards, Stories, Appstore Visuals | Power BI visuals, custom visuals, themes |
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| **Optimization** | DataFusions, Magic ETL, DataSet Views | Query folding, aggregations, Performance Analyzer |
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| **Lifecycle** | Import, transform, visualize, share | Connect, transform, model, visualize, share |
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| **Sharing & Collaboration** | Groups, Buzz, Appstore, Publication Groups | Workspaces, Apps, Power BI Service, Teams |
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| **Licensing** | Per user, per instance, enterprise | Per user, Premium, Fabric Capacity |
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| **Governance & Admin** | Admin Center, Data Governance Toolkit | Admin Portal, Sensitivity Labels, Compliance |
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| **End Users** | Domo University, Community, Support | Microsoft Learn, Community, Support |
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| **Migration Approach** | Manual rebuild, Domo API, export options | Manual rebuild, migration guidance, best practices |
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<details>
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<summary><b>Data Ingestion</b> – Click to expand</summary>
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</details>
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| Category | Domo Approach | Microsoft Fabric Approach |
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|------------------------|---------------|--------------------------|
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| **Data Ingestion** | Connectors, Workbench, Dataflows | Data Factory, Power Query, Dataflows, Direct Lake |
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| **Data Modelling** | Dataflows, Joins, Beast Modes | Dataflows, DAX, Star Schema, Relationships |
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| **Visualizations** | Cards, Stories, Appstore Visuals | Power BI visuals, custom visuals, themes |
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| **Optimization** | DataFusions, Magic ETL, DataSet Views | Query folding, aggregations, Performance Analyzer |
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| **Lifecycle** | Import, transform, visualize, share | Connect, transform, model, visualize, share |
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| **Sharing & Collaboration** | Groups, Buzz, Appstore, Publication Groups | Workspaces, Apps, Power BI Service, Teams |
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| **Licensing** | Per user, per instance, enterprise | Per user, Premium, Fabric Capacity |
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| **Governance & Admin** | Admin Center, Data Governance Toolkit | Admin Portal, Sensitivity Labels, Compliance |
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| **End Users** | Domo University, Community, Support | Microsoft Learn, Community, Support |
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| **Migration Approach** | Manual rebuild, Domo API, export options | Manual rebuild, migration guidance, best practices |
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## Lifecycle Comparison
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| Stage | Prepare (Domo) | Prepare (Fabric) | Visualize (Domo) | Visualize (Fabric) | Share (Domo) | Share (Fabric) |
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|------------------------|----------------|------------------|------------------|--------------------|--------------|----------------|
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| **Tool** | Dataflows, Workbench | Data Factory, Power Query | Cards, Stories | Power BI | Buzz, Publication Groups | Workspaces, Apps, Teams |
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| **Definition** | Connect, clean, transform | Connect, clean, transform | Build cards, dashboards | Build reports, dashboards | Share via groups, links | Share via workspaces, apps |
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<details>
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<summary><b>Prepare Stage</b> – Click to expand</summary>
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</details>
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| Stage | Prepare (Domo) | Prepare (Fabric) | Visualize (Domo) | Visualize (Fabric) | Share (Domo) | Share (Fabric) |
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|------------------------|----------------|------------------|------------------|--------------------|--------------|----------------|
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| **Tool** | Dataflows, Workbench | Data Factory, Power Query | Cards, Stories | Power BI | Buzz, Publication Groups | Workspaces, Apps, Teams |
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| **Definition** | Connect, clean, transform | Connect, clean, transform | Build cards, dashboards | Build reports, dashboards | Share via groups, links | Share via workspaces, apps |
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## Data Ingestion
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### Essentials for Developers
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| Feature | Domo | Microsoft Fabric |
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|-----------------------------|------|-----------------|
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| **Dataflows** | Yes | Yes |
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| **Custom Connectors** | Yes | Yes |
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| **ETL/ELT** | Magic ETL, SQL | Data Factory, Power Query |
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| **Scripting** | Python/R, Beast Modes | Python/R, DAX, M |
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| **Row-Level Security** | PDP Policies | Row-Level Security (RLS) |
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| **Collaboration** | Buzz, Groups | Workspaces, Teams |
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| **AI/ML** | Domo AI, Appstore | Copilot, AI Insights |
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<details>
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<summary><b>Dataflows</b> – Click to expand</summary>
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</details>
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| Feature | Domo | Microsoft Fabric |
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|-----------------------------|------|-----------------|
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| **Dataflows** | Yes | Yes |
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| **Custom Connectors** | Yes | Yes |
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| **ETL/ELT** | Magic ETL, SQL | Data Factory, Power Query |
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| **Scripting** | Python/R, Beast Modes | Python/R, DAX, M |
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| **Row-Level Security** | PDP Policies | Row-Level Security (RLS) |
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| **Collaboration** | Buzz, Groups | Workspaces, Teams |
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| **AI/ML** | Domo AI, Appstore | Copilot, AI Insights |
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### Data Connection Types
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| Feature | Domo Import | Domo Federated | Fabric Import | Fabric Direct Lake/Query |
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|-----------------|-------------|---------------|---------------|-------------------------|
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| **Definition** | Data imported into Domo | Live query to source | Data imported into Fabric/Power BI | Live query to source or Direct Lake |
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| **Performance** | Fast, cached | Depends on source | Fast, cached | Depends on source |
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| **Security** | PDP (Personalized Data Permissions), Domo security | Source security | RLS (Row-Level Security), Fabric security | Source security |
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| **Offline** | Yes | No | Yes | No |
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<details>
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<summary><b>Domo Import</b> – Click to expand</summary>
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</details>
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| Feature | Domo Import | Domo Federated | Fabric Import | Fabric Direct Lake/Query |
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|-----------------|-------------|---------------|---------------|-------------------------|
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| **Definition** | Data imported into Domo | Live query to source | Data imported into Fabric/Power BI | Live query to source or Direct Lake |
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| **Performance** | Fast, cached | Depends on source | Fast, cached | Depends on source |
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| **Security** | PDP (Personalized Data Permissions), Domo security | Source security | RLS (Row-Level Security), Fabric security | Source security |
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| **Offline** | Yes | No | Yes | No |
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## Data Transformation
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## Data Modelling
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| **Category** | **Comparison** | **Learn More** |
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|--------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|----------------|
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| **Dataflows** | `Domo Dataflows are similar to Microsoft Fabric Dataflows, enabling reusable ETL logic.` | [Fabric Dataflows](https://learn.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-introduction-self-service) |
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| **Date Tables & Time Intelligence** | `Domo supports date dimensions; Fabric/Power BI recommends dedicated date tables for time intelligence` | [Time intelligence in DAX](https://learn.microsoft.com/en-us/dax/time-intelligence-functions-dax) |
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| **Calculations** | `Domo Beast Modes ≈ Power BI Calculated Columns/Measures (DAX)` | [DAX basics in Power BI](https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-calculated-columns) |
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| **Measures** | `Domo Aggregations/Beast Modes ≈ Power BI Measures` | [Create and use measures in Power BI](https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-measures) |
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| **Conditionals** | `Domo CASE WHEN ≈ DAX IF/SWITCH.` | [DAX IF and SWITCH](https://learn.microsoft.com/en-us/dax/if-function-dax) |
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| **Star Schemas** | `Domo supports joins; Fabric/Power BI recommends star schema for performance.` | [Star schema guidance](https://learn.microsoft.com/en-us/power-bi/guidance/star-schema) |
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<summary><b>Dataflows</b> – Click to expand</summary>
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</details>
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| **Category** | **Comparison** | **Learn More** |
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|--------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|----------------|
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| **Dataflows** | `Domo Dataflows are similar to Microsoft Fabric Dataflows, enabling reusable ETL logic.` | [Fabric Dataflows](https://learn.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-introduction-self-service) |
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| **Date Tables & Time Intelligence** | `Domo supports date dimensions; Fabric/Power BI recommends dedicated date tables for time intelligence` | [Time intelligence in DAX](https://learn.microsoft.com/en-us/dax/time-intelligence-functions-dax) |
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| **Calculations** | `Domo Beast Modes ≈ Power BI Calculated Columns/Measures (DAX)` | [DAX basics in Power BI](https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-calculated-columns) |
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| **Measures** | `Domo Aggregations/Beast Modes ≈ Power BI Measures` | [Create and use measures in Power BI](https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-measures) |
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| **Conditionals** | `Domo CASE WHEN ≈ DAX IF/SWITCH.` | [DAX IF and SWITCH](https://learn.microsoft.com/en-us/dax/if-function-dax) |
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| **Star Schemas** | `Domo supports joins; Fabric/Power BI recommends star schema for performance.` | [Star schema guidance](https://learn.microsoft.com/en-us/power-bi/guidance/star-schema) |
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## How to create visualizations
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### Recreate Simple Visuals
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| Functionality | Domo | Power BI (Fabric) |
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|---------------|------|-------------------|
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| Card Builder | Drag-and-drop | Drag-and-drop, Visualizations pane |
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| Appstore | Custom visuals | Power BI Marketplace |
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| Drill Path | Drill Path | Drillthrough, Hierarchies |
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| Filters | Page/Global | Slicers, Filters |
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</details>
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| Functionality | Domo | Power BI (Fabric) |
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| Card Builder | Drag-and-drop | Drag-and-drop, Visualizations pane |
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| Appstore | Custom visuals | Power BI Marketplace |
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| Drill Path | Drill Path | Drillthrough, Hierarchies |
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| Filters | Page/Global | Slicers, Filters |
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### Custom Visuals
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`Domo Appstore ≈ Power BI Visuals Marketplace`

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