Day 13 Power BI Fundamentals
DAY 13

Power BI Fundamentals

Ghaziabad Mohan Nagar
Design Drafted by: HR Prateek Sharma
👁️ Five Different Types of Views
📊
Report View

Create visualizations and reports

📋
Table View

View and edit data tables

🔗
Model View

Define relationships between tables

💻
DAX Query View

Write DAX queries directly

📝
TMDL View

Tabular Model Definition Language

📥 Get Data - Multiple Sources
📗 Excel
📄 CSV
📁 Folder
📕 PDF
🗄️ SQL
☁️ Cloud Services
🌐 Web
📊 SharePoint
📗
Excel Integration

Import Excel workbooks seamlessly into Power BI for analysis.

  • Support for .xlsx and .xls formats
  • Multiple sheet import
  • Automatic data type detection
  • Live connection option
📄
CSV & Text Files

Load comma-separated and text files with ease.

  • Delimiter customization
  • Header row detection
  • Encoding support
  • Quick data preview
🗄️
SQL Database

Connect to SQL Server and other databases directly.

  • Direct query mode
  • Import mode option
  • SQL query builder
  • Real-time data access
⚙️ ETL vs ELT Process

ETL Process

1
Extract
2
Transform
3
Load

Traditional approach: Transform data before loading

ELT Process

1
Extract
2
Load
3
Transform

Modern approach: Load first, then transform

🔄
ETL Benefits
  • Data is cleaned before loading
  • Reduced storage requirements
  • Better data quality control
  • Ideal for structured data
  • Traditional data warehousing
ELT Benefits
  • Faster data loading process
  • Flexible transformation options
  • Better for big data scenarios
  • Cloud-native approach
  • Scalable architecture
💡
Power BI Approach

Power BI supports both ETL and ELT!

  • Power Query for ETL transformations
  • Direct Query for ELT approach
  • Import mode for data caching
  • Composite models available
🎯 Key Learning Points

✨ Five Powerful Views

Power BI offers five distinct views - Report, Table, Model, DAX Query, and TMDL - each serving specific purposes in data analysis and visualization.

📊 Multiple Data Sources

Connect to diverse data sources including Excel, CSV, PDF, SQL databases, and cloud services for comprehensive analysis.

⚙️ ETL vs ELT

Understanding the difference between ETL (Extract-Transform-Load) and ELT (Extract-Load-Transform) is crucial for efficient data processing.

Comments

Popular posts from this blog