π Power BI Roadmap β Topic 4
π Power BI Basics
In this section, you'll learn:
- How Power BI works
- The Power BI ecosystem
- Connecting data
- Creating your first report
- Understanding the Power BI interface
π 1. What is Power BI?
Microsoft Power BI is a Business Intelligence (BI) and Data Visualization platform developed by Microsoft.
It helps organizations:
β Analyze data
β Create reports
β Build dashboards
β Share insights
β Make data-driven decisions
π 2. Components of Power BI
Power BI consists of three major components.
πΉ Power BI Desktop
Used for: Creating reports, Building data models, Writing DAX, Data transformation
π This is where developers spend most of their time.
πΉ Power BI Service
Cloud-based platform used for: Publishing reports, Sharing dashboards, Scheduled refresh, Collaboration
πΉ Power BI Mobile
- Used for: Viewing reports, Monitoring KPIs, Accessing dashboards on mobile devices
π 3. Installing Power BI Desktop
Download Options:* Microsoft Store, Official Microsoft website
Installation Steps:
1. Download installer
2. Run setup
3. Complete installation
4. Launch Power BI Desktop
π 4. Understanding the Power BI Interface
When Power BI opens, you'll see:
Main Sections:
Area | Purpose
Ribbon | Commands & tools
Report Canvas | Build visualizations
Fields Pane | Tables & columns
Visualizations Pane | Charts & visuals
Filters Pane | Filtering
π 5. Three Main Views in Power BI
πΉ Report View
Used to:
β Create reports,
β Add charts,
β Build dashboards
Icon: π Report
Most work happens here.
πΉ Data View
Used to:
β Inspect data,
β Create calculated columns,
β Verify loaded tables
Icon: π Table
πΉ Model View
Used to:
β Create relationships,
β Build star schemas,
β Manage data models
Icon: π Relationship
π 6. Connecting Data Sources
Power BI supports hundreds of data sources.
Common Sources:
Files: β Excel, β CSV, β XML, β JSON
Databases: β SQL Server, β MySQL, β PostgreSQL, β Oracle
Cloud: β Azure, β SharePoint, β Google Analytics
Web: β APIs, β Websites
π 7. Get Data Process
Steps:
1. Click "Get Data"
2. Choose source
3. Connect
4. Load or Transform
Example:
Excel File: Sales.xlsx
Power BI imports: Sheets, Tables, Named Ranges
π 8. Import vs DirectQuery vs Live Connection
πΉ Import Mode
Data is loaded into Power BI memory.
Advantages:
β
Fast performance,
β
Full DAX support,
β
Better user experience
Disadvantages:
β Requires refresh
πΉ DirectQuery
Data remains in database.
Advantages:
β
Real-time data
Disadvantages:
β Slower performance
πΉ Live Connection
Direct connection to enterprise models.
Example: SSAS Tabular Models
π 9. Loading Data
After connecting:
Options:
Load: Directly loads data
Transform Data: Opens Power Query Editor
Used for:
β Cleaning data,
β Removing duplicates,
β Formatting columns
π In real projects, you'll often choose Transform Data first.
π 10. Creating Your First Visualization
Suppose you have:
Product | Sales
Laptop | 50000
Phone | 30000
Create Bar Chart:
1. Select Bar Chart
2. Drag Product β Axis
3. Drag Sales β Values
Power BI automatically generates a chart.
π 11. Understanding Visualizations Pane
Contains Charts:
β Bar Chart,
β Column Chart,
β Line Chart,
β Pie Chart,
β Area Chart,
β Scatter Plot
Advanced Visuals:
β KPI Card,
β Gauge,
β Waterfall,
β Funnel,
β Matrix
π 12. Understanding Fields Pane
Shows: Tables, Columns, Measures
Example:
Sales Table
ββ Product
ββ Quantity
ββ Revenue
Used to build visuals.
π 13. Understanding Filters Pane
Three levels:
Visual-Level Filter: Affects one visual
Page-Level Filter: Affects one page
Report-Level Filter: Affects entire report
π 14. Saving Power BI Files
File Extension: .pbix
Contains:
β Data,
β Model,
β DAX,
β Reports
π 15. Publishing Reports
Steps:
1. Save PBIX
2. Click Publish
3. Sign in
4. Select Workspace
5. Publish
Report becomes available in Power BI Service.
π 16. First Mini Dashboard
Create:
KPI Cards: Total Sales, Total Orders
Charts: Sales by Product, Sales by Region
Filters: Region, Month
π 17. Common Beginner Mistakes
β Loading unnecessary columns
β Ignoring data types
β Using too many visuals
β Poor naming conventions
β Skipping Power Query cleaning
π 18. Practice Project
π Sales Dashboard
Dataset: Product, Region, Sales
Tasks:
β Import Excel Data
β Create: Bar Chart, Line Chart, KPI Cards
β Add Filters
β Publish Report
π 19. Interview Questions
1. What is Power BI?
2. Difference between Desktop and Service?
3. What are the three views in Power BI?
4. What is Import Mode?
5. What is DirectQuery?
6. What is a PBIX file?
7. How do you publish reports?
8. What is a Workspace?
9. What is Power Query?
10. What is a Dashboard?
π― Goal of This Topic
After this topic you should be able to:
β
Install Power BI
β
Connect data sources
β
Load data
β
Create visualizations
β
Build simple dashboards
β
Publish reports
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