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SQL DISTINCT vs GROUP BY — You're Using the Wrong One #shorts #sql
SQL DISTINCT vs GROUP BY — why most analysts reach for DISTINCT by default and end up giving their manager an incomplete answer without realising it.
DISTINCT removes duplicate rows. That is it. That is the entire job of DISTINCT. If you want to count, filter, or analyse data by group — DISTINCT cannot do that. GROUP BY can. Here is the clearest example. Your manager asks how many orders each customer has placed. You write DISTINCT on customer ID and get back a clean list of unique customers. That is not the answer. That is half the answer. GROUP BY customer, then COUNT orders — that gives you the number your manager actually wanted. DISTINCT tells you who exists. GROUP BY tells you what they did. Most analysts use DISTINCT because it feels simpler and the query runs without errors. But a query that runs without errors and answers the wrong question is worse than a query that breaks — because nobody flags it until the numbers stop making sense in a meeting. Every SQL interview tests this difference specifically because it reveals whether a candidate understands what their query is actually doing or just whether it executes. Know it cold before your next round.
Subscribe for daily SQL tips, interview prep, and real analyst skills that go beyond what courses teach!
DISTINCT or GROUP BY — which one do you reach for first without thinking? Drop it below 👇
This video explains the difference between SQL DISTINCT and GROUP BY — when to use each one, why DISTINCT gives incomplete results for aggregation and counting tasks, and how GROUP BY with COUNT gives the answer your manager actually needs. Covers the most common SQL mistake analysts make by defaulting to DISTINCT when GROUP BY is the correct tool, and why SQL interviews specifically test this difference. If you're searching for SQL DISTINCT vs GROUP BY, when to use GROUP BY in SQL, SQL DISTINCT tutorial, SQL COUNT GROUP BY, SQL interview questions for freshers, SQL mistakes to avoid, or SQL tips for data analysts 2026, this is the distinction that separates analysts who write queries that run from analysts who write queries that answer the right question. Perfect for SQL beginners, junior analysts, freshers preparing for data analyst interviews, and anyone whose SQL results have ever looked right but felt slightly off.
#Shorts #SQLTips #SQLInterview #DataAnalyst #SQLForBeginners
Видео SQL DISTINCT vs GROUP BY — You're Using the Wrong One #shorts #sql канала thejaydecodes
DISTINCT removes duplicate rows. That is it. That is the entire job of DISTINCT. If you want to count, filter, or analyse data by group — DISTINCT cannot do that. GROUP BY can. Here is the clearest example. Your manager asks how many orders each customer has placed. You write DISTINCT on customer ID and get back a clean list of unique customers. That is not the answer. That is half the answer. GROUP BY customer, then COUNT orders — that gives you the number your manager actually wanted. DISTINCT tells you who exists. GROUP BY tells you what they did. Most analysts use DISTINCT because it feels simpler and the query runs without errors. But a query that runs without errors and answers the wrong question is worse than a query that breaks — because nobody flags it until the numbers stop making sense in a meeting. Every SQL interview tests this difference specifically because it reveals whether a candidate understands what their query is actually doing or just whether it executes. Know it cold before your next round.
Subscribe for daily SQL tips, interview prep, and real analyst skills that go beyond what courses teach!
DISTINCT or GROUP BY — which one do you reach for first without thinking? Drop it below 👇
This video explains the difference between SQL DISTINCT and GROUP BY — when to use each one, why DISTINCT gives incomplete results for aggregation and counting tasks, and how GROUP BY with COUNT gives the answer your manager actually needs. Covers the most common SQL mistake analysts make by defaulting to DISTINCT when GROUP BY is the correct tool, and why SQL interviews specifically test this difference. If you're searching for SQL DISTINCT vs GROUP BY, when to use GROUP BY in SQL, SQL DISTINCT tutorial, SQL COUNT GROUP BY, SQL interview questions for freshers, SQL mistakes to avoid, or SQL tips for data analysts 2026, this is the distinction that separates analysts who write queries that run from analysts who write queries that answer the right question. Perfect for SQL beginners, junior analysts, freshers preparing for data analyst interviews, and anyone whose SQL results have ever looked right but felt slightly off.
#Shorts #SQLTips #SQLInterview #DataAnalyst #SQLForBeginners
Видео SQL DISTINCT vs GROUP BY — You're Using the Wrong One #shorts #sql канала thejaydecodes
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29 мая 2026 г. 19:00:02
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