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โœ… Data Warehousing Basics ๐Ÿข๐Ÿ“ฆ

๐Ÿ‘‰ A Data Warehouse is a central repository used to store large volumes of historical data from multiple sources for reporting and analysis.

It is designed for:
โ€ข โœ” Business Intelligence BI
โ€ข โœ” Reporting
โ€ข โœ” Data Analytics
โ€ข โœ” Decision-making

๐Ÿ”น 1. What is a Data Warehouse?
A Data Warehouse collects data from different systems into one centralized location.

Example
A retail company stores data from:
โ€ข โœ” Sales system
โ€ข โœ” Inventory system
โ€ข โœ” Customer database
โ€ข โœ” Finance system

All this data is combined into a Data Warehouse for analysis.

๐Ÿ”ฅ 2. Why Do We Need a Data Warehouse?
โ€ข โœ” Centralized data storage
โ€ข โœ” Faster reporting
โ€ข โœ” Historical data analysis
โ€ข โœ” Better business decisions

๐Ÿ”น 3. Data Warehouse Architecture โญ
Data Sources
โ†“
ETL Extract, Transform, Load
โ†“
Data Warehouse
โ†“
Reports & Dashboards

๐Ÿ”น 4. What is ETL?
ETL stands for:

โœ… Extract
Collect data from different sources.

โœ… Transform
Clean, format, and prepare the data.

โœ… Load
Store the transformed data in the Data Warehouse.

๐Ÿ”น 5. OLTP vs OLAP โญ
OLTP | OLAP
---|---
Daily transactions | Data analysis
Fast inserts & updates | Fast reporting
Current data | Historical data

Examples:
โ€ข OLTP: Banking transactions, online shopping orders
โ€ข OLAP: Sales reports, yearly revenue analysis

๐Ÿ”น 6. Star Schema โญ
The most common Data Warehouse schema.
It contains:

โญ Fact Table
Stores measurable values
Example: Sales Amount, Quantity

โญ Dimension Tables
Store descriptive information
Example: Customer, Product, Date

๐Ÿ”น 7. Snowflake Schema
Similar to Star Schema but with normalized dimension tables.
๐Ÿ‘‰ Uses more tables and relationships.

๐Ÿ”น 8. Popular Data Warehousing Tools
โ€ข โœ” Snowflake
โ€ข โœ” Google BigQuery
โ€ข โœ” Amazon Redshift
โ€ข โœ” Azure Synapse Analytics

๐Ÿ”น 9. Why Data Warehousing is Important?
โ€ข โœ” Stores large amounts of data
โ€ข โœ” Supports business intelligence
โ€ข โœ” Enables faster analytics
โ€ข โœ” Frequently asked in interviews

๐ŸŽฏ Today's Goal
โ€ข โœ” Understand Data Warehouse concepts
โ€ข โœ” Learn ETL process
โ€ข โœ” Differentiate OLTP vs OLAP
โ€ข โœ” Understand Star Schema & Fact/Dimension tables

๐Ÿ‘‰ Double Tap โค๏ธ For More
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