#Sql Window Function Questions

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#Sql Window Function Questions Reels - @dataengnotebook tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @dataxodyssey tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @penelope_data tarafından paylaşılan video - 5 SQL interview questions for your next data interview Q1: Find all customers who placed more than 3 orders in the last 30 days. Hint: GROUP BY, HAVI
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@penelope_data
5 SQL interview questions for your next data interview Q1: Find all customers who placed more than 3 orders in the last 30 days. Hint: GROUP BY, HAVING, date filtering Q2: Write a query to find the second-highest salary in an employees table. Hint: Subqueries, LIMIT/OFFSET, ranking logic Q3: For each department, find the employee with the highest salary. Hint: Window functions — RANK() and ROW_NUMBER() Q4: Calculate the 7-day rolling average of daily sales. Hint: Window functions with frame specification (ROWS BETWEEN) Q5: Find users who logged in yesterday but not today. Hint: Set operations (EXCEPT) or LEFT JOIN with NULL filtering 📌 If you want the answers and to test where you actually stand, I built the Atomic Data Interview Prep Guide, 40 real questions across: • SQL, • Statistics, • Machine Learning, and • Python with a spaced-repetition system to make the answers stick. Comment “guide” and I’ll send you the link
#Sql Window Function Questions Reels - @jessramosdata (onaylı hesap) tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @dataxodyssey tarafından paylaşılan video - 🔥 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
#Sql Window Function Questions Reels - @this.tech.girl tarafından paylaşılan video - 🚨 THESE are the SQL questions that separate the juniors from the seniors. 🚨 ​You can study syntax all day, but when an interviewer drops question #
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@this.tech.girl
🚨 THESE are the SQL questions that separate the juniors from the seniors. 🚨 ​You can study syntax all day, but when an interviewer drops question #17 on you, can you code it under pressure? ​Don’t be the 90% who freeze. This list is your blueprint. ​I've compiled the most frequent, job-critical SQL queries from dozens of actual FAANG and top tech interviews. Master this list, and you aren’t just ready for the interview—you’re ready for the job. ​👇 YOUR CHALLENGE: 👇 ​Drop your solution to Question #15 (Calculating the running total) in the comments below. Let's build a massive resource together. Let's see who can write the cleanest, most efficient query! ​Share this with someone who needs this for job. 🚀 ​[SQL interview questions, data science interview, data analyst technical questions, FAANG SQL, advanced SQL queries, window functions SQL, joins vs CTEs, relational database, database normalization, query optimization, data engineering prep, coding challenge, tech interview, tech skills, structured query language, database fundamentals, data professional, career in data, interview prep, problem-solving SQL] ​#SQL #InterviewPrep #DataScience DataAnalytics DataEngineering
#Sql Window Function Questions Reels - @madhu.thangella tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @karthik.techdairy (onaylı hesap) tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @rebellionrider tarafından paylaşılan video - Follow for more SQL interview questions on Data Analysis and SQL. Interviewer: How do you detect and fix SQL performance bottlenecks? Start with
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@rebellionrider
Follow for more SQL interview questions on Data Analysis and SQL. Interviewer: How do you detect and fix SQL performance bottlenecks? Start with the execution plan. It shows how the database is actually running your query. Look for full table scans, expensive joins, or large sorts. These are usually the first signs of a performance bottleneck. Next, check indexes. Many slow queries happen because the database has to scan the entire table. Adding the right index on frequently filtered or joined columns can reduce execution time drastically. Then review the query logic. Avoid functions on indexed columns in the WHERE clause. This prevents the optimizer from using indexes and forces a full scan. Also watch out for unnecessary data retrieval. Using SELECT * often pulls more columns than needed. Fetch only the columns required for the task. Finally, analyze table size and statistics. Outdated statistics can cause the optimizer to choose inefficient execution plans. Refreshing them can improve performance without changing the query. In short. Use execution plans to detect the problem. Use indexes, better query structure, and updated statistics to fix it. Save this if you are preparing for SQL interviews or improving your data analysis skills.
#Sql Window Function Questions Reels - @learn_data_daily tarafından paylaşılan video - DAY 28/365 Most beginners get confused between RANK() and DENSE_RANK() in SQL 🤯 The difference is simple but very important for interviews and real
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@learn_data_daily
DAY 28/365 Most beginners get confused between RANK() and DENSE_RANK() in SQL 🤯 The difference is simple but very important for interviews and real projects. 📊 RANK() → skips numbers after ties 📊 DENSE_RANK() → no gaps in ranking If you're preparing for Data Analyst / SQL interviews, this concept is asked very frequently. Save this post for your SQL revision! 💾 🚀 💬 Comment SQL if you want more SQL interview tricks
#Sql Window Function Questions Reels - @dataengnotebook tarafından paylaşılan video - 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
#Sql Window Function Questions Reels - @khan.the.analyst (onaylı hesap) tarafından paylaşılan video - 🔥 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

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