Скачать или смотреть Why SQL is Used Everywhere? Explained with Real-World Use Cases

Welcome to my channel!
This video is perfect for beginners looking to learn SQL with real-world examples. We’ll walk through a SQL use case from food delivery apps like Swiggy, write practical SQL queries, and understand how data analysis with SQL is done in real applications. Ideal for those preparing for SQL interviews, data engineering jobs, or just looking to improve their SQL skills.

🔹 What You’ll Learn:
What is SQL? Simple explanation
Why SQL is essential for jobs and real-time analysis
Real-world SQL query example for order analysis
Where and how SQL is used in the real world

Step 1: Table Creation Script

CREATE TABLE Orders (
OrderID INT IDENTITY(1,1) PRIMARY KEY,
CustomerID INT,
Item NVARCHAR(50),
OrderDate DATE,
Amount DECIMAL(10,2)
);

-----
Step 2: Insert 2,000 Random Records (SQL Server)

-- Declare variables
DECLARE @i INT = 1;
DECLARE @CustomerID INT;
DECLARE @Item NVARCHAR(50);
DECLARE @OrderDate DATE;
DECLARE @Amount DECIMAL(10,2);

-- Sample items array (you can add more)
DECLARE @Items TABLE (ItemName NVARCHAR(50));
INSERT INTO @Items (ItemName)
VALUES ('Pizza'), ('Burger'), ('Pasta'), ('Biryani'), ('Sandwich'),
('Salad'), ('Coffee'), ('Tea'), ('Juice'), ('Ice Cream');

-- Insert loop
WHILE @i less than = 2000
BEGIN
SET @CustomerID = FLOOR(RAND() * 100) + 1; -- Customer IDs between 1 and 100
SELECT TOP 1 @Item = ItemName FROM @Items ORDER BY NEWID(); -- Random item
SET @OrderDate = DATEADD(DAY, -FLOOR(RAND() * 30), GETDATE()); -- Random date last 30 days
SET @Amount = CAST((RAND() * 500) + 50 AS DECIMAL(10,2)); -- Random amount 50–550

INSERT INTO Orders (CustomerID, Item, OrderDate, Amount)
VALUES (@CustomerID, @Item, @OrderDate, @Amount);

SET @i = @i + 1;
END;

----

💻 SQL Query Example in This Video:
```sql
SELECT item, COUNT(*) as order_count
FROM orders
WHERE order_date = '2025-04-14'
GROUP BY item
ORDER BY order_count DESC;


Who Should Watch?

Beginners who want to learn SQL from scratch

Students, job seekers, aspiring Data Engineers, Analysts, Developers

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👉 Upcoming Video: Top 5 SQL Queries Every Beginner Should Know