#Sql Not In Subquery

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#Sql Not In Subquery Reel by @dataxodyssey - Day 40: 10 Characters โ‰  10 Bytes ๐Ÿ˜ฎโ€๐Ÿ’จ LENGTH vs CHAR_LENGTH

Everyone thinks name limits are SIMPLEโ€ฆ
Until Unicode enters the database ๐Ÿ‘€

Characters
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@dataxodyssey
Day 40: 10 Characters โ‰  10 Bytes ๐Ÿ˜ฎโ€๐Ÿ’จ LENGTH vs CHAR_LENGTH Everyone thinks name limits are SIMPLEโ€ฆ Until Unicode enters the database ๐Ÿ‘€ Characters โŒ Bytes โŒ Emoji โŒ Regional letters โŒ ๐Ÿ’พ SAVE this for SQL interviews ๐Ÿ‘ฅ SHARE with your Data Analyst batch ๐Ÿ“Œ 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 ๐Ÿ‘‡ โŒ Common Mistakes โŒ Assuming characters = bytes โŒ Using CHAR_LENGTH for storage validation โŒ Ignoring Unicode data โŒ Learning SQL only at surface level SELECT LENGTH(employee_name) FROM employees; โœ” LENGTH checks bytes โœ” Detects Unicode overflow โœ” Prevents insert failures โœ” Production-safe logic SELECT CHAR_LENGTH(employee_name) FROM employees; ๐Ÿ‘‰ Counts characters (display logic, not storage) ๐ŸŽฏ Why Interviewers Ask This Tests: โœ” Unicode awareness โœ” Storage vs display difference โœ” Real-world SQL thinking โœ” System design basics Simple on paper. Dangerous in production ๐Ÿง  #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 โ€œDSAโ€ 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.
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@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 ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“Š

๐Ÿ”น DDL - Defining structure
Used to create and manage tables & schema
Examples: CREATE, ALTER, DROP

๐Ÿ”น DQL
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PY
@python_code_pro
How SQL is used in real projects ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“Š ๐Ÿ”น DDL โ€“ Defining structure Used to create and manage tables & schema Examples: CREATE, ALTER, DROP ๐Ÿ”น DQL โ€“ Querying data Used daily for reports & analysis Example: SELECT ๐Ÿ”น DML โ€“ Modifying data Used carefully in production Examples: INSERT, UPDATE, DELETE ๐Ÿ”น DCL โ€“ Access control Managing user permissions Examples: GRANT, REVOKE ๐Ÿ”น TCL โ€“ 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 ๐Ÿ˜ณ

But smart developers still get ALL records from both tables.

Follow @dataxodyssey for daily videos

Here
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@dataxodyssey
Day 54 | MySQL doesnโ€™t support FULL JOIN ๐Ÿ˜ณ But smart developers still get ALL records from both tables. Follow @dataxodyssey for daily videos Hereโ€™s how you do it ๐Ÿ‘‡ Save this. This gets asked in interviews. โœ” FULL OUTER JOIN not available in MySQL โœ” Use LEFT JOIN โœ” Combine with RIGHT JOIN โœ” Merge using UNION Result โ†’ All matching + non-matching rows Interview gold #SQL #MySQL #SQLInterview #DataAnalytics #LearnSQL #DataEngineer #TechCareers
#Sql Not In Subquery Reel by @dataxodyssey - Day 29 SQL ๐Ÿ”ฅ | Tech Company Interview Question

SAVE this and SHARE with your Data Analyst batch ๐Ÿ“Š

๐Ÿ“บ Follow on YouTube: Link in Bio
๐Ÿ‘‰ www.youtube
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@dataxodyssey
Day 29 SQL ๐Ÿ”ฅ | Tech Company Interview Question SAVE this and SHARE with your Data Analyst batch ๐Ÿ“Š ๐Ÿ“บ Follow on YouTube: Link in Bio ๐Ÿ‘‰ www.youtube.com/@DataXOdyssey ๐Ÿšซ COMMON DATA ISSUE (VERY IMPORTANT) โŒ Duplicate rows = wrong reports โŒ Double counting users/employees โŒ Poor data quality โœ… SQL helps you identify duplicates instantly ๐ŸŽฏ INTERVIEW TIP (SAVE THIS) ๐Ÿ’ก Duplicates are found using GROUP BY + HAVING ๐Ÿ’ก Multiple columns are checked together, not separately ๐Ÿ’ก This question is asked in almost every tech interview ๐Ÿ‘‰ Interviewers test your data thinking, not just syntax. ๐Ÿง  WHAT YOU LEARN IN THIS VIDEO (Beginner Friendly) โœ… 1๏ธโƒฃ Identify duplicate values SELECT name, department, position_title, COUNT(*) FROM employees GROUP BY name, department, position_title HAVING COUNT(*) > 1; ๐Ÿ“Œ Groups identical records ๐Ÿ“Œ Counts how many times they appear ๐Ÿ“Œ Shows only repeated entries ๐Ÿ“Œ REAL-WORLD MEANING If the same Name + Department + Role appears more than once, ๐Ÿ‘‰ itโ€™s treated as a duplicate record ๐Ÿ”ฅ WHY THIS MATTERS โ€ข Prevents incorrect reports โ€ข Improves data accuracy โ€ข Essential for Data Analysts SAVE this for revision ๐Ÿ“Œ SHARE with your SQL/interview buddy ๐Ÿค 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 ๐Ÿ“‚
A classic problem that tests your stack usage & string processing.
.
Split path โ†’ process tokens โ†’ rebuild result = O(n) ๐Ÿš€
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@binary_codee
Simplify Directory Path ๐Ÿ“‚ A classic problem that tests your stack usage & string processing. . Split path โ†’ process tokens โ†’ rebuild result = O(n) ๐Ÿš€ Handles ".", "..", and extra slashes cleanly ๐Ÿ’ก Very common in file-system & stack interview questions ๐Ÿ“Œ . . #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 ๐Ÿš€ | ROW_NUMBER() Explained

SAVE this and SHARE with your Data Analyst batch ๐Ÿ“Š

๐Ÿ“บ Follow on YouTube: Link in Bi
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Day 31 SQL | Window Functions Begin ๐Ÿš€ | ROW_NUMBER() Explained SAVE this and SHARE with your Data Analyst batch ๐Ÿ“Š ๐Ÿ“บ Follow on YouTube: Link in Bio ๐Ÿ‘‰ www.youtube.com/@DataXOdyssey โ“ Interview + Real-World Concept How do you assign a unique number to each row without hiding any data? ๐ŸชŸ Introducing WINDOW FUNCTIONS They calculate values ๐Ÿ‘‰ without collapsing rows ๐Ÿ‘‰ without using GROUP BY Today we start with the most important one ๐Ÿ‘‡ โœ… 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; ๐Ÿง  What this means ๐Ÿ‘‰ Whole table is the window ๐Ÿ‘‰ Rows stay visible ๐Ÿ‘‰ 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; ๐Ÿง  What this means ๐Ÿ‘‰ Highest salary gets row number 1 ๐Ÿ‘‰ Every row still appears ๐Ÿ‘‰ 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; ๐Ÿง  What this means ๐Ÿ‘‰ Ranking resets for each department ๐Ÿ‘‰ No rows are removed ๐Ÿ‘‰ Clean & interview-safe logic ๐Ÿง  Why ROW_NUMBER() Matters ๐Ÿ‘‰ Used for Top-N queries ๐Ÿ‘‰ Helps remove duplicates ๐Ÿ‘‰ Powers pagination ๐Ÿ‘‰ Foundation of window functions ๐Ÿ“Œ Part of Daily SQL Series โ€“ Day 31 ๐Ÿ” Missed earlier days? Check previous videos to learn SQL from scratch ๐Ÿ” Save this ๐Ÿ“Œ Follow for daily SQL learning ๐Ÿ” DAY SERIES FLOW ๐Ÿ‘‰ 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? Thatโ€™s where grouping comes in. Whether youโ€™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: ๐Ÿ• Total sales by product ๐Ÿ‘ฉโ€๐ŸŽ“ Average score by class ๐Ÿ™๏ธ Revenue by city Once you master this, your analysis instantly becomes more powerful. ๐Ÿ‘‰ 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:
โœ” Date functions
โœ” GROUP BY
โœ” 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: โœ” Date functions โœ” GROUP BY โœ” 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 โ€œjust coding.โ€ But in simple words? SQL is how you talk to data. You ask: โ€œShow me this.โ€ โ€œFilter this.โ€ โ€œGroup this.โ€ โ€œCount this.โ€ And the database replies with answers. Thatโ€™s it. SQL doesnโ€™t create magic. It helps you find clarity inside messy data. If you understand this, youโ€™ll learn SQL much faster. ๐Ÿš€ #SQL #DataAnalytics #LearnData #TechCareers

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