Amazon SQL Interview Question | Advanced SQL | window functions
🔥 Welcome to the Third Video of the SQL Interview Series! 🔥
Script:
CREATE TABLE ProductSpend (
category VARCHAR(50),
product VARCHAR(100),
user_id INT,
spend DECIMAL(10, 2)
);
INSERT INTO ProductSpend (category, product, user_id, spend) VALUES
('appliance', 'refrigerator', 165, 26.00),
('appliance', 'refrigerator', 123, 3.00),
('appliance', 'washing machine', 123, 19.80),
('electronics', 'vacuum', 178, 5.00),
('electronics', 'wireless headset', 156, 7.00),
('electronics', 'vacuum', 145, 15.00),
('electronics', 'laptop', 114, 999.99),
('fashion', 'dress', 117, 49.99),
('groceries', 'milk', 243, 2.99),
('groceries', 'bread', 645, 1.99),
('home', 'furniture', 276, 599.99),
('home', 'decor', 456, 29.99);
🔥 Amazon SQL Interview Question Solved! 🔥
In this video, I’ll show you how to find the top 1 product for each category with the highest spends—a commonly asked SQL question in Amazon interviews. 📊💰
🎯 What You’ll Learn:
✅ How to rank products using window functions (RANK, DENSE_RANK, ROW_NUMBER)
✅ The best way to filter the highest spending product per category
✅ SQL techniques to crack real interview questions
💡 Why Watch This Video?
✔️ Asked in Amazon interviews
✔️ Common SQL query pattern in data analysis & reporting
✔️ Boost your SQL problem-solving skills
🚀 Want to crack SQL interviews at top companies like Amazon, Google, and TCS? Subscribe now and never miss a video!
🔔 Watch Now & Level Up Your SQL Skills!
Amazon SQL interview question, SQL for interviews, Top product by category SQL, Highest spends per category, SQL ranking functions, ROW_NUMBER vs RANK, SQL window functions tutorial, Advanced SQL queries, SQL interview preparation, Data analyst interview questions, SQL group by highest value, Solve SQL problems step by step, Amazon data engineer interview, SQL CTE example, Partition by in SQL
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