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Vivek Kumar

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0 karma0 postsjoined about 1 month ago

🌐 dev.toSource

From Dev.to - database: Multi-Tenant SQL Reporting: How to Show Each Customer Only Their Own Data

20 days ago

🌐 dev.toSource

From Dev.to - database: Don't Trust AI-Generated SQL Blindly: A Developer's Validation Checklist

21 days ago

🌐 dev.toSource

From Dev.to - database: Beyond Basics: Mastering SQL's LEAD, LAG, RANK, DENSE_RANK, and NTILE

22 days ago

🌐 dev.toSource

From Dev.to - database: Beyond Basic Indexes: Mastering Partial, Composite, and Covering Indexes in SQL

22 days ago

🌐 dev.toSource

From Dev.to - sql: SQL Views Explained: Write Once, Query Forever

26 days ago

🌐 dev.toSource

From Dev.to - database: SQL String Functions: Clean, Transform, and Tame Messy Data Like a Pro

27 days ago

🌐 dev.toSource

From Dev.to - database: SQL Date & Time Functions: A Practical Guide for Real-World Queries

29 days ago

🌐 dev.toSource

From Dev.to - database: SQL GROUP BY & HAVING: The Beginner's Guide to Summarizing Data Like a Pro

about 1 month ago

🌐 dev.toSource

From Dev.to - database: SQL Window Functions Explained: Stop Collapsing Your Data with GROUP BY

about 1 month ago

🌐 dev.toSource

Searching for an exact value in a database is easy β€” you just use =. But what do you do when you only know part of the value? Maybe you want to find all customers whose email ends in @gmail.com, or all products with "pro" somewhere in the name. That's where SQL's LIKE operator co

about 1 month ago