What are the major components of Power BI?

Power BI is a powerful business analytics toolset by Microsoft that enables users to visualize data, share insights, and make data-driven decisions. The major components of Power BI are:

1. Power BI Desktop

• Description: A Windows-based application used to create and design Power BI reports and dashboards. It’s the primary tool for data analysts and developers to build visualizations.
• Key Features:
  • Data connection and transformation (using Power Query).
  • Data modeling (creating relationships between tables).
  • Creating interactive reports with visuals like charts, maps, and tables.
  • DAX (Data Analysis Expressions) for advanced calculations.
• Use Case: Designing and developing complex data models and interactive reports.

2. Power BI Service (Power BI Online)

• Description: A cloud-based platform for sharing, publishing, and collaborating on Power BI reports and dashboards. It enables users to access and interact with reports online via web browsers.
• Key Features:
  • Hosting and sharing reports and dashboards.
  • Managing workspaces for collaboration.
  • Scheduling data refreshes.
  • Creating simple dashboards from shared reports.
• Use Case: Collaboration, sharing, and real-time viewing of reports and dashboards across the organization.

3. Power BI Mobile

• Description: A mobile app available for iOS, Android, and Windows devices, allowing users to access Power BI reports and dashboards on the go.
• Key Features:
  • Access to interactive reports and dashboards.
  • Push notifications for updates and alerts.
  • View and interact with data in real-time.
• Use Case: Viewing and monitoring reports and dashboards anytime, anywhere for decision-making.

4. Power BI Report Server

• Description: An on-premises server for hosting and managing Power BI reports, particularly for organizations that require data to remain on-premises for security or regulatory reasons.
• Key Features:
  • Hosting of paginated reports and Power BI reports.
  • Integration with SQL Server Reporting Services (SSRS).
  • Monthly updates for features and improvements.
• Use Case: Organizations that prefer on-premises solutions instead of cloud-based Power BI Service.

5. Power BI Embedded

• Description: A service designed for developers to embed Power BI reports and dashboards into custom applications, websites, or portals using APIs.
• Key Features:
  • Embedding analytics and reports into web applications.
  • Access to Power BI REST APIs for automation.
  • White-labeling capabilities for custom branding.
• Use Case: Businesses wanting to add analytics capabilities to their software applications without building from scratch.

6. Power Query

• Description: A data connection and transformation tool integrated within Power BI Desktop, Excel, and other Microsoft tools. It allows users to clean, reshape, and transform data before analysis.
• Key Features:
  • Data cleaning, filtering, and merging from multiple sources.
  • Creating custom calculations and data transformations.
  • Merging data from various sources (databases, web, files, etc.).
• Use Case: Preprocessing raw data to create a clean dataset for analysis.

7. Power Pivot

• Description: A data modeling component in Power BI and Excel that allows for the creation of complex data models using in-memory storage. It’s useful for creating data relationships, calculated fields, and complex measures.
• Key Features:
  • Building data models with relationships.
  • Creating calculated columns and measures using DAX.

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