#Sql Not In Subquery

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#Sql Not In Subquery Reel by @dataxodyssey - Day 40: 10 Characters ≠ 10 Bytes 😮‍💨 LENGTH vs CHAR_LENGTH

Everyone thinks name limits are SIMPLE…
Until Unicode enters the database 👀

Characters
4.6K
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@dataxodyssey
Day 40: 10 Characters ≠ 10 Bytes 😮‍💨 LENGTH vs CHAR_LENGTH Everyone thinks name limits are SIMPLE… Until Unicode enters the database 👀 Characters ❌ Bytes ❌ Emoji ❌ Regional letters ❌ 💾 SAVE this for SQL interviews 👥 SHARE with your Data Analyst batch 📌 Follow @dataxodyssey for Daily SQL Interview Prep Interview Question A system allows employee names up to 10 characters, but the database column is limited to 10 bytes. Why does this cause errors? Which function would you use to detect risky names? Sounds basic? This is where candidates slip 👇 ❌ Common Mistakes ❌ Assuming characters = bytes ❌ Using CHAR_LENGTH for storage validation ❌ Ignoring Unicode data ❌ Learning SQL only at surface level SELECT LENGTH(employee_name) FROM employees; ✔ LENGTH checks bytes ✔ Detects Unicode overflow ✔ Prevents insert failures ✔ Production-safe logic SELECT CHAR_LENGTH(employee_name) FROM employees; 👉 Counts characters (display logic, not storage) 🎯 Why Interviewers Ask This Tests: ✔ Unicode awareness ✔ Storage vs display difference ✔ Real-world SQL thinking ✔ System design basics Simple on paper. Dangerous in production 🧠 #SQLInterview #SQLStringFunctions #SQLTips #DailySQL #DataAnalystInterview #SQLForBeginners #AdvancedSQL #AnalyticsCareers #TechCareers #IndianTech #CareerInData #DataXOdyssey
#Sql Not In Subquery Reel by @codewithnishchal (verified account) - Comment "DSA" to get the complete flow and start the Grind!

Just commenting and putting it in your DMs won't help you.
Follow this consistently and y
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@codewithnishchal
Comment “DSA” to get the complete flow and start the Grind! Just commenting and putting it in your DMs won't help you. Follow this consistently and you will see the results by yourself! #dsa #reelsinstagram #systemdesign #datastructure #reelitfeelit
#Sql Not In Subquery Reel by @codedatahub - Two ways to ask the same question.

IN.
EXISTS.

Same result?
Not always the same behavior.
204
CO
@codedatahub
Two ways to ask the same question. IN. EXISTS. Same result? Not always the same behavior.
#Sql Not In Subquery Reel by @python_code_pro - How SQL is used in real projects 👩‍💻📊

🔹 DDL - Defining structure
Used to create and manage tables & schema
Examples: CREATE, ALTER, DROP

🔹 DQL
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PY
@python_code_pro
How SQL is used in real projects 👩‍💻📊 🔹 DDL – Defining structure Used to create and manage tables & schema Examples: CREATE, ALTER, DROP 🔹 DQL – Querying data Used daily for reports & analysis Example: SELECT 🔹 DML – Modifying data Used carefully in production Examples: INSERT, UPDATE, DELETE 🔹 DCL – Access control Managing user permissions Examples: GRANT, REVOKE 🔹 TCL – Transactions Ensuring data safety Examples: COMMIT, ROLLBACK This is how SQL works behind every real-time application, dashboard, and business system Follow for more Content -) @python_code_pro . #SQL #DataAnalytics #Database #TechLearning #Oracle PLSQL DataEngineer ITCareer LearnSQL Fresher Interview corporate office
#Sql Not In Subquery Reel by @dataxodyssey - Day 54 | MySQL doesn't support FULL JOIN 😳

But smart developers still get ALL records from both tables.

Follow @dataxodyssey for daily videos

Here
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@dataxodyssey
Day 54 | MySQL doesn’t support FULL JOIN 😳 But smart developers still get ALL records from both tables. Follow @dataxodyssey for daily videos Here’s how you do it 👇 Save this. This gets asked in interviews. ✔ FULL OUTER JOIN not available in MySQL ✔ Use LEFT JOIN ✔ Combine with RIGHT JOIN ✔ Merge using UNION Result → All matching + non-matching rows Interview gold #SQL #MySQL #SQLInterview #DataAnalytics #LearnSQL #DataEngineer #TechCareers
#Sql Not In Subquery Reel by @dataxodyssey - Day 29 SQL 🔥 | Tech Company Interview Question

SAVE this and SHARE with your Data Analyst batch 📊

📺 Follow on YouTube: Link in Bio
👉 www.youtube
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@dataxodyssey
Day 29 SQL 🔥 | Tech Company Interview Question SAVE this and SHARE with your Data Analyst batch 📊 📺 Follow on YouTube: Link in Bio 👉 www.youtube.com/@DataXOdyssey 🚫 COMMON DATA ISSUE (VERY IMPORTANT) ❌ Duplicate rows = wrong reports ❌ Double counting users/employees ❌ Poor data quality ✅ SQL helps you identify duplicates instantly 🎯 INTERVIEW TIP (SAVE THIS) 💡 Duplicates are found using GROUP BY + HAVING 💡 Multiple columns are checked together, not separately 💡 This question is asked in almost every tech interview 👉 Interviewers test your data thinking, not just syntax. 🧠 WHAT YOU LEARN IN THIS VIDEO (Beginner Friendly) ✅ 1️⃣ Identify duplicate values SELECT name, department, position_title, COUNT(*) FROM employees GROUP BY name, department, position_title HAVING COUNT(*) > 1; 📌 Groups identical records 📌 Counts how many times they appear 📌 Shows only repeated entries 📌 REAL-WORLD MEANING If the same Name + Department + Role appears more than once, 👉 it’s treated as a duplicate record 🔥 WHY THIS MATTERS • Prevents incorrect reports • Improves data accuracy • Essential for Data Analysts SAVE this for revision 📌 SHARE with your SQL/interview buddy 🤝 Check Out Day 18: WHERE vs HAVING (must-watch) #SQLInterview #LearnSQL #DataAnalyst #TechInterviews #MySQL #DataAnalytics #CodingReels #SQLTutorial #SQLHacks
#Sql Not In Subquery Reel by @binary_codee - Simplify Directory Path 📂
A classic problem that tests your stack usage & string processing.
.
Split path → process tokens → rebuild result = O(n) 🚀
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@binary_codee
Simplify Directory Path 📂 A classic problem that tests your stack usage & string processing. . Split path → process tokens → rebuild result = O(n) 🚀 Handles ".", "..", and extra slashes cleanly 💡 Very common in file-system & stack interview questions 📌 . . #dsa #datastructures #Interviewprep#stacks #codinginterview
#Sql Not In Subquery Reel by @dataandaiwithnikhil - SQL Tips #8 This ORDER BY is lying to you 
#dataengineering
#dataengineer
#analytics
#databricks
#dataanalytics
#data
#sql 
#businessanalyst 
#softwar
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@dataandaiwithnikhil
SQL Tips #8 This ORDER BY is lying to you #dataengineering #dataengineer #analytics #databricks #dataanalytics #data #sql #businessanalyst #softwareengineer #learning #dataanalysis #businessintelligence #dataanalyst #freshers
#Sql Not In Subquery Reel by @dataxodyssey - Day 31 SQL | Window Functions Begin 🚀 | ROW_NUMBER() Explained

SAVE this and SHARE with your Data Analyst batch 📊

📺 Follow on YouTube: Link in Bi
8.4K
DA
@dataxodyssey
Day 31 SQL | Window Functions Begin 🚀 | ROW_NUMBER() Explained SAVE this and SHARE with your Data Analyst batch 📊 📺 Follow on YouTube: Link in Bio 👉 www.youtube.com/@DataXOdyssey ❓ Interview + Real-World Concept How do you assign a unique number to each row without hiding any data? 🪟 Introducing WINDOW FUNCTIONS They calculate values 👉 without collapsing rows 👉 without using GROUP BY Today we start with the most important one 👇 ✅ ROW_NUMBER() Assigns a unique number to each row based on logic you define. Case 1: ROW_NUMBER() with just OVER() SELECT employee_name, ROW_NUMBER() OVER () AS row_num FROM employees; 🧠 What this means 👉 Whole table is the window 👉 Rows stay visible 👉 Numbers are assigned arbitrarily Case 2: ROW_NUMBER() with ORDER BY SELECT employee_name, salary, ROW_NUMBER() OVER (ORDER BY salary DESC) AS row_num FROM employees; 🧠 What this means 👉 Highest salary gets row number 1 👉 Every row still appears 👉 Duplicate salaries still get different numbers Case 3: ROW_NUMBER() with PARTITION BY department SELECT employee_name, department, salary, ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS row_num FROM employees; 🧠 What this means 👉 Ranking resets for each department 👉 No rows are removed 👉 Clean & interview-safe logic 🧠 Why ROW_NUMBER() Matters 👉 Used for Top-N queries 👉 Helps remove duplicates 👉 Powers pagination 👉 Foundation of window functions 📌 Part of Daily SQL Series – Day 31 🔁 Missed earlier days? Check previous videos to learn SQL from scratch 🔁 Save this 📌 Follow for daily SQL learning 🔁 DAY SERIES FLOW 👉 Check out Day 30: Second Highest Salary Without LIMIT #Day31 #WindowFunctions #ROW_NUMBER #SQLInterview #LearnSQL #DataAnalytics #MySQL #PostgreSQL #DataAnalyst #DataXOdyssey #SQLBeginners #Coding #Programming #DataScience #DataEngineer #TechCareers
#Sql Not In Subquery Reel by @loresowhat (verified account) - Want to find totals across categories?
That's where grouping comes in.

Whether you're using SQL, Tableau, or Python, grouping lets you split data int
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@loresowhat
Want to find totals across categories? That’s where grouping comes in. Whether you’re using SQL, Tableau, or Python, grouping lets you split data into categories and calculate the sum (or any other metric) for each group. Examples: 🍕 Total sales by product 👩‍🎓 Average score by class 🏙️ Revenue by city Once you master this, your analysis instantly becomes more powerful. 👉 Follow for more practical breakdowns like this #datascience #sql #python #tableau #dataanalytics
#Sql Not In Subquery Reel by @dataxodyssey - Not a hard question. But it filters weak SQL fundamentals instantly.

Know:
✔ Date functions
✔ GROUP BY
✔ COUNT

Save this for your next interview. Fo
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@dataxodyssey
Not a hard question. But it filters weak SQL fundamentals instantly. Know: ✔ Date functions ✔ GROUP BY ✔ COUNT Save this for your next interview. Follow @dataxodyssey for daily learnings #SQL #SQLInterview #DataAnalyst #LearnSQL #DataEngineer #TechCareers #Database #Analytics #dataxodyssey
#Sql Not In Subquery Reel by @learning._log - Most beginners think SQL is "just coding."

But in simple words?

SQL is how you talk to data.

You ask:
"Show me this."
"Filter this."
"Group this."
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LE
@learning._log
Most beginners think SQL is “just coding.” But in simple words? SQL is how you talk to data. You ask: “Show me this.” “Filter this.” “Group this.” “Count this.” And the database replies with answers. That’s it. SQL doesn’t create magic. It helps you find clarity inside messy data. If you understand this, you’ll learn SQL much faster. 🚀 #SQL #DataAnalytics #LearnData #TechCareers

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