SQL that separates juniors from pros 🔥 Here’s Part 3 of rare SQL tips — the kind you only learn by doing 👇 (📸 Save this for later & RT if it helped) Follow @sqldiscussions for more battle-tested tricks ⚔️ #SQL #DataEngineering #DevTips #Backend
SQL Tip: Never use SELECT * in production. It’s like saying “give me everything and surprise me” 🎁💀 Be specific. Be fast. Be a pro. Follow @sqldiscussions for more no-BS SQL tips ⚔️ #SQL #DataEngineering #100DaysOfCode #Backend
SQL that actually makes people go: “Wait… what?! 😮” Here are 8 rare but powerful SQL tips that make you stand out in interviews and on the job 👇 #SQL #DataEngineering #LearnSQL #100DaysOfCode
Why did the SQL query break up with the database? Because it couldn't find the right join! 💔😂 #SQL #DatabaseHumor
SQL challenge: Can you write a query that selects everything except the one column you actually need? 🙃 #SQLChallenge #techtwitter #sql #oracle #database #mysql
💻🧠 SQL Challenge Time! 🧠💻What's the most complex SQL query you've ever written? Share it below! Let's see who can come up with the most mind-bending SQL magic! 🪄💫 Bonus points for those who explain their logic! 🚀 #SQLChallenge #CodeNerds #GeekOut #sql #Database #TechFun
Pro tip: Always use EXISTS over IN for subqueries when you want better performance! 🚀 #SQLTips #DatabaseOptimization #Sql #Database
🚀 SQL Query Challenge: Imagine you have a table with customer orders. Write a query to find the top 5 products with the highest average order value in the last 30 days. Share your solutions and let’s compare! 🧠💻 #SQLChallenge #DatabaseDesign #TechTalk #Sql #Database
#sqlquiz What happens if you insert timestamp value in date datatype column? Do you receive error ? If not then what's the difference BTW timestamp and date? #SQL #Database #interview
What does this sql query returns? 🤔 Select count (*) form orders where orderdate = '2023-4-13'; #sqlquiz #sqlchallenge #SQL
Given a table 'sales' with date and revenue columns, write sql query to find the date when revenue was 2nd highest. #sqlchallenge #SQL
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