Netflix Dataset SQL Interview Question | Printing Star (⭐ ⭐ ⭐ ⭐⭐) | Deepankar Pathak

📊 Mastering SQL Interview Question 📊 Here we are going to discuss SQL Interview Questions, These are the same SQL Interview Questions and answers, that are from the Netflix Dataset SQL Interview Question. Netflix Dataset SQL Interview Question that I could not answer in the Interview. These are he top questions if you are preparing for Data Analytics/ Data Engineer/ Data Science Roles. This will benefit you if you prepare for the data engineer role. This will benefit you if you prepare for the data engineer role. L&T Infotech Interview Question Intermediate SQL Interview Question data engineer question L&T Infotech data analytics questions Data enginee sql interview questions Data analyst sql interview questions Deloitte SQL Interview data analyst interview deloitte interview KPMG interview deloitte sql interview questions big 4 sql interview questions pwc sql interview data analytics sql interview data analytics sql interview questions sql tutorial sql server interview questions sql server interview questions and answers sql interview questions and answers top sql interview questions and answers sql interview questions and answers in hindi sql interview questions sql query interview questions and answers sql queries interview questions and answers for experienced sql interview sql questions and answers top sql questions sql interview questions for freshers sql interview questions for beginners sql interview questions for experienced intermediate level sql interview questions sql interview preparation sql basic questions sql questions sql query interview questions sql interview question sql join interview questions sql basic ---------------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------------- SCRIPT USED :- --CREATE TABLE Netflix_Dataset ( -- id INT PRIMARY KEY, -- genre VARCHAR(50), -- title VARCHAR(100) --); -- Create reviews table --CREATE TABLE Netflix_Reviews ( -- movie_id INT, -- rating DECIMAL(3,1), -- FOREIGN KEY (movie_id) REFERENCES Netflix_Dataset(id) --); ---- Insert sample data into movies table --INSERT INTO Netflix_Dataset (id, genre, title) VALUES --(1, 'Action', 'RAJI'), --(2, 'Action', 'BORDER'), --(3, 'Action', 'RUN'), --(4, 'Action', 'MIRZAPUR'), --(5, 'Action', 'GANGS OF WASEPUR'), --(6, 'Drama', 'BABARCHI'), --(7, 'Drama', 'STREE-2'), --(8, 'Drama', 'GANGS OF WASEPUR'), --(9, 'Drama', 'SHOLAY'), --(10, 'Drama', 'DHOOM'), --(11, 'Comedy', 'HERA PHERI'), --(12, 'Comedy', 'PHIR HERA PHERI'), --(13, 'Comedy', 'GOLMAL'), --(14, 'Comedy', 'BOMBAY TO GOA'), --(15, 'Comedy', 'ALL THE BEST'); ---- Insert sample data into reviews table --INSERT INTO Netflix_Reviews (movie_id, rating) VALUES --(1, 4.5), --(1, 4.0), --(1, 5.0), --(2, 4.2), --(2, 4.8), --(2, 3.9), --(3, 4.6), --(3, 3.8), --(3, 4.3), --(4, 4.1), --(4, 3.7), --(4, 4.4), --(5, 3.9), --(5, 4.5), --(5, 4.2), --(6, 4.8), --(6, 4.7), --(6, 4.9), --(7, 4.6), --(7, 4.9), --(7, 4.3), --(8, 4.9), --(8, 5.0), --(8, 4.8), --(9, 4.7), --(9, 4.9), --(9, 4.5), --(10, 4.6), --(10, 4.3), --(10, 4.7), --(11, 3.9), --(11, 4.0), --(11, 3.5), --(12, 3.7), --(12, 3.8), --(12, 4.2), --(13, 3.2), --(13, 3.5), --(13, 3.8), --(14, 3.8), --(14, 4.0), --(14, 4.2), --(15, 3.9), --(15, 4.0), --(15, 4.1); ------------------------------------------------ ---------------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------------- #dataanalytics #powerbi #sqlinterviewquestions #sql #faang