Top Tweets for #SQLQueries
Day 13 of the #HTTDatachallange. It gets more interesting, using (SQL)Sub queries to figure out the customer who has made orders above average order value.Every step brings us closer to a solution. ๐ค๐.
#SQLQueries
#SQLSubQueries
Day 12 of the #HTTDatachallange we advanced more into joining tables while trying to get Total sales and Average order values by REGION ๐ค๐.
#SQLQueries
SQL Interview Questions๐ฅ
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SQL Queries for Make, Model and Architectures of Devicesย |ย #Guide #SystemCenterย #SQLQueries #SQL #Database #DataEngineering #TechTipsย
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when dealing with real, messy datasets.
Open to constructive feedback. Thank you #datafam
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My appreciation goes to @DabereNnamani , @JudeRaji_ and @TDataImmersed
Still learning. Still improving. But definitely growing ๐
Master relational databases with hands-on ER diagrams, joins, normalization, and SQL queries.
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๐ UNION vs UNION ALL
UNION โ removes duplicates (slower)
UNION ALL โ keeps duplicates (faster)
Choose based on data need.
#SQL #SQLQueries #Database #Learning
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SQL without WHERE returns everything.
SQL with WHERE returns what actually matters.
#SQLTips #DataAnalytics #SQLQueries
๐ฏ HAVING vs WHERE (Common Confusion)
WHERE โ filters rows
HAVING โ filters groups
HAVING COUNT(*) > 5
#SQL #SQLBeginner #DataAnalysis #SQLQueries
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Using LIMIT doesnโt just make results readable it protects your database from overloading.
Small habit, big impact.
#DatabaseTips #SQLQueries #TheSQLQueryCoach
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๐ก SQL Interview Question:
๐ How do you display each departmentโs total salary?
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๐ก SQL Interview Question:
๐ How do you delete duplicate rows from a table while keeping only one copy?
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๐ก SQL Interview Question:
๐ How do you find the Nth Highest Salary in a table?
(Super important for SQL + Backend + Java interviews!)
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Sales Analytics SQL Project
Revenue by country, product performance, customer insights ; all from SQL queries!
Python merge coming next. ๐
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