Languages used in Power BI, Power Automate, Power Apps, and Dataverse, along with summaries, usage, examples, and links to their respective API

Power BI

Language	Summary	Code Example	LanguageUsedIn	Docs
DAX	Formula language for calculated columns, measures, and tables.	Total Sales = SUM(Sales[Amount])	Measures, Calculated Columns, Calculated Tables, Row-Level Security	DAX Reference
M (Power Query)	Functional language for data transformation in Power Query Editor.	= Table.SelectRows(Sales, each [Amount] > 1000)	Power Query Editor, Data Source Queries, Query Parameters	M Language Reference
R / Python	Used for advanced analytics and custom visuals.	summary(lm(Sales ~ Region, data=sales_data)) (R)	Power BI Desktop Scripts, Custom Visuals, Transform Data Scripts	R & Python in Power BI

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Power Automate

Language	Summary	Code Example	LanguageUsedIn	Docs
Workflow Definition Language (WDL)	JSON-based schema for defining flow logic and expressions.	@equals(triggerBody()?['Status'], 'Approved')	Conditions, Expressions, Dynamic Content, Advanced Mode in Actions	WDL Overview
Power Fx	Low-code formula language used in some expressions and integrations.	If(Status = "Approved", "Proceed", "Hold")	Instant Plugins, Dataverse Accelerator, Desktop Flows (Preview)	Power Fx in Power Automate

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Power Apps

Language	Summary	Code Example	LanguageUsedIn	Docs
Power Fx	Excel-like formula language for app logic and UI behavior.	If(User().Email = "admin@contoso.com", Navigate(AdminScreen), Navigate(HomeScreen))	Canvas Apps, Cards, Formula Columns, Model-Driven Command Bars, Instant Plugins	Power Fx Docs
JSON / REST APIs	Used for external data integration via custom connectors.	Patch(MyDataSource, Defaults(MyDataSource), {Name: "Jason"})	Custom Connectors, HTTP Actions via Power Automate, REST API Bindings	Power Apps REST APIs

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Dataverse

Language	Summary	Code Example	LanguageUsedIn	Docs
OData / Web API (REST)	HTTP-based API for CRUD operations on Dataverse data.	GET https://<org>.crm.dynamics.com/api/data/v9.2/accounts	External Integrations, Custom Connectors, Power BI Direct Query, Power Apps REST Calls	Dataverse Web API
C# (via SDK)	Used in plugins, custom workflows, and server-side logic.	service.Create(new Account { Name = "Contoso" });	Plugins, Custom Workflow Activities, Azure Functions, Server-Side Extensions	Dataverse SDK

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Would you like this exported as a CSV or markdown file for quick reference? Or maybe a visual map showing how these languages interact across the platform? I can whip that up too. Let me know how deep you want to go

What difference between Microsoft Power BI Desktop (Optimized for Power BI Report Server - September 2024) and Microsoft Power BI Desktop and Microsoft® Power BI Report Builder

  The differences between Microsoft Power BI Desktop (Optimized for Power BI Report Server - September 2024), Microsoft Power BI Desktop, and Microsoft Power BI Report Builder lie in their purpose, functionality, and target environment. Below is a concise comparison:

1. Microsoft Power BI Desktop (Optimized for Power BI Report Server - September 2024)

• Purpose: A specialized version of Power BI Desktop tailored for creating and publishing reports to Power BI Report Server, an on-premises reporting platform.
• Key Features:
  • Optimized for compatibility with Power BI Report Server (September 2024 release).
  • Does not include preview features until they are generally available, ensuring stability for on-premises environments.
  • Supports interactive Power BI reports (.pbix files) and connectivity to on-premises data sources without requiring a gateway for local data.
  • Lacks some cloud-specific features (e.g., dashboards, Q&A, shared datasets, advanced AI/ML capabilities) available in the Power BI Service.
  • Can be installed side-by-side with standard Power BI Desktop.
• Environment: On-premises, designed for organizations needing to keep data and reports within their firewall for security or regulatory reasons.
• Limitations:
  • Does not support paginated reports (.rdl files).
  • Limited to features supported by the specific Report Server version (e.g., no export to Excel with current layout).
  • Custom security extensions may prevent direct saving to the Report Server; reports must be uploaded manually.

2. Microsoft Power BI Desktop

• Purpose: The standard version of Power BI Desktop, designed for creating interactive reports and dashboards for the Power BI Service, a cloud-based platform.
• Key Features:
  • Supports a broader range of features, including preview features, frequent updates, and cloud-specific capabilities like dashboards, shared datasets, Q&A, and AI-driven insights.
  • Creates .pbix files for interactive, screen-optimized reports with advanced visuals and data modeling.
  • Integrates with Microsoft Fabric and other cloud services (e.g., Power Automate, Power Apps).
  • Allows data import, transformation, and visualization from various sources using Power Query and DAX.
• Environment: Primarily cloud-based (Power BI Service), though reports can be shared locally or published to on-premises servers with limitations.
• Limitations:
  • Not optimized for Power BI Report Server; reports created may not be fully compatible with on-premises servers due to version differences or unsupported features.
  • Cannot create paginated reports.

3. Microsoft Power BI Report Builder

• Purpose: A standalone tool for creating paginated reports (.rdl files) optimized for printing or exporting to formats like PDF or Excel.
• Key Features:
  • Designed for "pixel-perfect" paginated reports with precise control over layout, ideal for printed reports or fixed-format documents.
  • Based on SQL Server Reporting Services (SSRS) technology, supporting Report Definition Language (.rdl) files.
  • Supports accessibility features (e.g., tagging headers, text box properties) and conditional formatting.
  • Can connect to Power BI datasets or other data sources via SQL Server Analysis Services.
  • Compatible with Power BI Report Server and older SSRS versions (2016, 2017, 2019).
• Environment: Primarily used with Power BI Report Server or SSRS for on-premises deployment, though paginated reports can be published to Power BI Service with a premium capacity.
• Limitations:
  • Lacks the interactive, exploratory features of Power BI Desktop reports.
  • Not suited for building dashboards or highly interactive visuals.

Key Differences Summary

Aspect	Power BI Desktop (Optimized for Report Server)	Power BI Desktop	Power BI Report Builder
Primary Use	Interactive reports for on-premises Report Server	Interactive reports for cloud (Power BI Service)	Paginated reports for printing/export
File Format	.pbix (interactive reports)	.pbix (interactive reports)	.rdl (paginated reports)
Environment	On-premises (Power BI Report Server)	Cloud (Power BI Service)	On-premises or cloud (premium)
Feature Set	Stable, server-compatible features	Latest features, cloud-focused	Pixel-perfect, print-focused
Preview Features	Excluded until generally available	Included	Not applicable
Data Connectivity	On-premises focus, no gateway for local data	Cloud and local with gateway	SSRS-based, dataset-focused
Interactivity	High (slicers, filters, visuals)	High (dashboards, AI)	Low (static, formatted reports)
Compatibility	Tied to specific Report Server version	Power BI Service	Report Server, SSRS, premium cloud

Which Tool to Use?

• Use Power BI Desktop (Optimized for Report Server - September 2024) if your organization uses Power BI Report Server and needs interactive reports hosted on-premises.
• Use Power BI Desktop for cloud-based reporting, collaboration, and access to the latest features in the Power BI Service.
• Use Power BI Report Builder for paginated reports requiring precise formatting for printing or export, especially in on-premises environments or premium cloud workspaces.

For further details, refer to Microsoft’s official documentation on Power BI Report Server and Power BI Desktop