SQL Part 2: Star Schema Data Modeling for Analytics & Creating Database Views
Автор: SNIGDHA JYOTSNA- Family Algorithm Dojo
Загружено: 2025-11-05
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Welcome to SQL Part 2! In this tutorial, we move beyond the fundamentals to show you how to structure data for real-world business intelligence and analytics.
We introduce the most common data architecture: the Star Schema. You will learn how to identify Fact (Orders) and Dimension (Customers, Payments, Returns) tables and write powerful SQL queries for common use cases like Customer Purchase Analytics and Payment Tracking.
Finally, we explain and demonstrate the creation of Views—virtual tables that simplify complex reports and enhance data security.
In this SQL Tutorial, you will learn:
Data Modeling Fundamentals: Why the Star Schema is best for sales reporting.
Fact vs. Dimension Tables: Understanding the Orders, Customers, Payments, and Returns model.
Customer Purchase Analytics: SQL queries for total sales, segmentation, and top customers.
Payment Tracking: Using LEFT JOIN and CASE statements to track paid vs. pending orders.
Data Abstraction: What a View is, why you need it, and how to use the CREATE VIEW statement.
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