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In this video we will discuss a Accenture SQL interview question and solve it when the data is case sensitive and when it is insensitivity . Here is the script: CREATE TABLE employees (employee_id int,employee_name varchar(15), email_id varchar(15) ); delete from employees; INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('101','Liam Alton', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('102','Josh Day', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('103','Sean Mann', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('104','Evan Blake', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('105','Toby Scott', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('106','Anjali Chouhan', '[email protected]'); INSERT INTO employees (employee_id,employee_name, email_id) VALUES ('107','Ankit Bansal', '[email protected]'); ALTER TABLE employees ALTER COLUMN email_id VARCHAR(15) COLLATE SQL_Latin1_General_CP1_CS_AS; Zero to hero(Advance) SQL Aggregation: https://youtu.be/5Ighj_2PGV0 Most Asked Join Based Interview Question: https://youtu.be/xR87ctOgpAE Solving 4 Trick SQL problems: https://youtu.be/Ck1gQrlS5pQ Data Analyst Spotify Case Study: https://youtu.be/-YdAIMjHZrM Top 10 SQL interview Questions: https://youtu.be/Iv9qBz-cyVA Interview Question based on FULL OUTER JOIN: https://youtu.be/KQfWd6V3IB8 Playlist to master SQL : https://youtube.com/playlist?list=PLBTZqjSKn0IeKBQDjLmzisazhqQy4iGkb Rank, Dense_Rank and Row_Number: https://youtu.be/xMWEVFC4FOk #sql #dataanalytics
