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#Rank Sql Function Reel by @dataengnotebook - 3 Consecutive Purchase Days - Senior-Level SQL Problem Counting purchases is easy. Finding a 3-day consecutive streak? That's interview hard 👀 This
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@dataengnotebook
3 Consecutive Purchase Days — Senior-Level SQL Problem Counting purchases is easy. Finding a 3-day consecutive streak? That’s interview hard 👀 This isn’t about totals. It’s about detecting patterns in time-series data. The trick most candidates miss 👇 ✔ Use ROW_NUMBER() ✔ Subtract it from the date ✔ Group by the derived key ✔ Count streak length This question tests: 🔹 Advanced window functions 🔹 Temporal logic 🔹 Pattern detection skills 🔹 Real product analytics thinking Streak problems are common in e-commerce, gaming, and fintech interviews 🔥 If you can solve this confidently, you’re operating above average. #SQLInterview #AdvancedSQL #WindowFunctions #DataAnalytics #DataEngineering
#Rank Sql Function Reel by @dataxodyssey - Day 36: Most SQL learners get this WRONG in interviews They say "Top 3 employees by salary" But forget ONE critical detail 👇 👉 What if multiple em
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@dataxodyssey
Day 36: Most SQL learners get this WRONG in interviews They say “Top 3 employees by salary” But forget ONE critical detail 👇 👉 What if multiple employees have the SAME salary? Interviewers WANT you to think about ties. ❓ Interview Question Retrieve Top 3 employees by salary in each department ✔ department-wise ✔ highest salary first ✔ include employees with same salary If you use ROW_NUMBER() ❌ — you’ll miss people. INTERVIEW GOLD 🏆 Use DENSE_RANK() with PARTITION BY. This is how real analysts: ✔ avoid unfair filtering ✔ handle real-world data ✔ write production-ready SQL 💾 Save this for interviews 👥 Share with your SQL batch Follow @dataxodyssey for daily SQL interview prep 🚀 #SQLInterview #TopNSQL #WindowFunctions #DENSE_RANK #LearnSQL #DataAnalystLife #TechInterviews #DailySQL #IndianTech #SQLTips
#Rank Sql Function Reel by @jessramosdata (verified account) - Most common data interview question ⬇️ Comment "SQL" for my SQL skills cheat sheet, PERFECT for projects and interview prep. Save this video for l
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@jessramosdata
Most common data interview question ⬇️ Comment “SQL” for my SQL skills cheat sheet, PERFECT for projects and interview prep. Save this video for later and send it to yourself so you can watch it before for your interview! One of the most common interview question is this: What’s the difference between ROW_NUMBER, RANK, and DENSE_RANK? Most business problems only need ROW_NUMBER, but for some reason hiring managers LOVE asking this one!! • ROW_NUMBER: sequential ranking, no duplicates, no skipped numbers • RANK: duplicates share the same rank, but numbers get skipped after ties • DENSE_RANK: duplicates share the same rank, no skipped numbers #sql #data #dataanalytics #dataengineering
#Rank Sql Function Reel by @dataxodyssey - 🔥 Day 37: This Question HUMBLES 90% Candidates 😮‍💨 Most people answer it half right… Interviewers notice instantly ⚠️ 💾 SAVE this for SQL interv
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@dataxodyssey
🔥 Day 37: This Question HUMBLES 90% Candidates 😮‍💨 Most people answer it half right… Interviewers notice instantly ⚠️ 💾 SAVE this for SQL interviews 👥 SHARE with your Data Analyst batch 📌 Follow @dataxodyssey for Daily SQL Interview Prep 🏆 INTERVIEW GOLD Subqueries test: ✔ logical thinking ✔ query layering ✔ business understanding ✔ real-world SQL usage Master this = easy interview win ❓ Interview Question Display employees whose salary is GREATER than the average salary Sounds easy? Here’s where people fail 👇 ❌ They calculate average manually ❌ They hard-code values ❌ They forget SQL should handle dynamic data 💡 INTERVIEWER EXPECTS THIS 👉 Use a SUBQUERY 👉 Let SQL calculate the average 👉 Compare salaries dynamically This works even when: ✔ salaries change ✔ new employees are added ✔ real production data grows #SQLInterview #SQLSubquery #LearnSQL #DataAnalystInterview #SQLTips #DailySQL #DataAnalystLife #TechCareers #IndianTech #AnalyticsJobs #SQLForBeginners #CareerInData #DataXOdyssey
#Rank Sql Function Reel by @madhu.thangella - This SQL interview question rejects more candidates than you think. Most people know how to find duplicates using GROUP BY. But interviews don't stop
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@madhu.thangella
This SQL interview question rejects more candidates than you think. Most people know how to find duplicates using GROUP BY. But interviews don’t stop there. The moment they ask for order_id, most candidates get stuck. That’s where: ➡️ Window Functions ➡️ CASE statement ➡️ Business thinking actually matter. I explained this clearly with real examples in my latest YouTube video. 👉 Comment “SQL” if you want the full explanation 👉 Follow for more SQL & Data Analyst interview tips #SQL #SQLInterview #DataAnalyst #DataAnalytics #WindowFunctions
#Rank Sql Function Reel by @madhu.thangella - SQL Constraints Explained in 60 Seconds (Save This!) Most beginners ignore constraints. Then later they cry about "bad data". Here's the truth 👇 Con
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@madhu.thangella
SQL Constraints Explained in 60 Seconds (Save This!) Most beginners ignore constraints. Then later they cry about “bad data”. Here’s the truth 👇 Constraints are rules in SQL that protect your table from garbage data. ➡ NOT NULL – No empty values ➡ UNIQUE – No duplicates ➡ PRIMARY KEY – Unique + Not Null (main ID) ➡ FOREIGN KEY – Connects two tables ➡ CHECK – Adds condition (age > 18) ➡ DEFAULT – Auto value if nothing given Real example: If salary = -5000 gets stored… Your dashboard becomes a joke. Constraints = Clean data = Better reports = Better decisions. Stop just learning SELECT. Start understanding data structure. Comment “SQL” if you want real interview questions on this. #DataAnalyst #SQLInterview #DatabaseDesign #AnalyticsCareer #dataengineer
#Rank Sql Function Reel by @karthik.techdairy (verified account) - SQL is not just a skill. It's the gatekeeper of every Data Analyst interview 💻📊 I've seen this pattern again and again: No matter the company… no m
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@karthik.techdairy
SQL is not just a skill. It’s the gatekeeper of every Data Analyst interview 💻📊 I’ve seen this pattern again and again: No matter the company… no matter the role… They ALWAYS test SQL. If you’re preparing for: • Data Analyst interviews • Business Analyst roles • Data Engineer positions • Product Analytics roles • Mass hiring tech companies Then you must master these SQL interview questions 👇 Expect questions on: ✅ JOIN vs INNER JOIN vs LEFT JOIN ✅ GROUP BY + HAVING ✅ Window Functions (ROW_NUMBER, RANK, DENSE_RANK) ✅ Subqueries vs CTE ✅ Indexing basics ✅ Finding duplicates ✅ Top N per group ✅ Case statements ✅ Aggregate functions Recruiters don’t just test syntax. They test how you think with data. Practice real-world SQL problems. Write queries without looking at solutions. Time yourself. That’s how you crack interviews. Comment SQL and I’ll send you the top SQL interview question list 📩🔥 [sql interview questions, sql for data analyst, sql query practice, sql interview preparation, data analyst interview questions, sql joins explained, sql window functions, sql practice questions, tech interview preparation, data engineering interview] #SQL #DataAnalyst #interviewprep #TechCareers #learnsql
#Rank Sql Function Reel by @madhu.thangella - 🚨 90% of candidates fail this simple SQL question. Interviewer asks: "Find employees NOT present in department table." Most people say INNER JOIN. W
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@madhu.thangella
🚨 90% of candidates fail this simple SQL question. Interviewer asks: “Find employees NOT present in department table.” Most people say INNER JOIN. Wrong. And that one mistake costs them the job. This is not about syntax. This is about thinking. If you don’t understand JOIN logic deeply, interviews will expose you. I explained the correct approach in this post. Comment “JOIN” if you want more real interview traps like this. Save this before your next interview. #SQLInterview #DataAnalytics #DataAnalyst #SQLJoins #InterviewPreparation
#Rank Sql Function Reel by @dataengnotebook - Highest Paid Employee in Each Department - Interview Classic Getting the highest salary is easy. But getting the employee name + department + salary
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@dataengnotebook
Highest Paid Employee in Each Department — Interview Classic Getting the highest salary is easy. But getting the employee name + department + salary together? That’s where many candidates struggle 👀 If you use only GROUP BY dept, you’ll lose row-level details ❌ The smarter way? 👇 ✔ Use DENSE_RANK() or ROW_NUMBER() ✔ PARTITION BY department ✔ Order by salary DESC ✔ Filter rank = 1 This question tests: 🔹 Window functions 🔹 Partition logic 🔹 Real-world reporting skills Because managers don’t ask: “What’s the max salary?” They ask: “Who is the highest paid in each team?” 💼 #SQLInterview #WindowFunctions #LearnSQL #DataAnalytics #DataEngineering
#Rank Sql Function Reel by @khan.the.analyst (verified account) - 🔥 Want FREE SQL resources? Comment "SQL" 👇 You'll receive: ✔ SQL Notes (Beginner-friendly) ✔ SQL LeetCode Q&A ✔ Interview-focused SQL questions ✔ P
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@khan.the.analyst
🔥 Want FREE SQL resources? Comment “SQL” 👇 You’ll receive: ✔ SQL Notes (Beginner-friendly) ✔ SQL LeetCode Q&A ✔ Interview-focused SQL questions ✔ Practice sets (Basic → Advanced) These helped me crack real Data Analyst interviews. ⸻ 📞 1:1 Mentorship | Resume Review | Mock Interviews 👉 Link in Bio 💾 Save | 📤 Share | 👤 Follow @khan.the.analyst #SQL #SQLLearning #DataAnalytics #SQLInterview #careerindata
#Rank Sql Function Reel by @afterhours_rahmat - One SQL question… and most candidates freeze 😳 • Interviewer asks: Find second highest salary • Candidate panics → uses wrong logic • Explain c
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@afterhours_rahmat
One SQL question… and most candidates freeze 😳 • Interviewer asks: Find second highest salary • Candidate panics → uses wrong logic • Explain common wrong approach • Show correct logic (2 ways) • Why interviewers LOVE this question 👉 Save this — this WILL be asked
#Rank Sql Function Reel by @dataengnotebook - Find the Median Salary - Real Interview Question Average is easy. Median? That's where SQL gets interesting 👀 Why? Because SQL doesn't have a simpl
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@dataengnotebook
Find the Median Salary — Real Interview Question Average is easy. Median? That’s where SQL gets interesting 👀 Why? Because SQL doesn’t have a simple built-in MEDIAN() in most databases. So what do we do? 👇 ✔ Use ROW_NUMBER() ✔ Use COUNT() as window function ✔ Handle even vs odd number of rows ✔ Take the middle value (or average of two) This question tests: 🔹 Window function depth 🔹 Edge case thinking 🔹 Analytical SQL problem-solving If you can solve MEDIAN confidently, you’re already above average 🚀 #SQLInterview #WindowFunctions #AdvancedSQL #LearnSQL #DataEngineering

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