Mastering SQL String Functions: A Practical Guide for Beginners🚀
In this tutorial, we explore essential string manipulation techniques using SQL, helping you clean, format, and extract data efficiently.
🔍 What You'll Learn in This Video:
✅ 📊 How to extract and manipulate strings in SQL using real-world examples.
✅ Finding String Length: Use LEN() to determine the number of characters.
✅ Extracting Substrings: Learn LEFT(), RIGHT(), and SUBSTRING() to pull specific parts of a string.
✅ Finding Character Positions: Use CHARINDEX() to locate substrings within text.
✅ Splitting Names: Extract first and last names using CHARINDEX() and LEFT().
✅ Changing Case: Convert text to uppercase and lowercase with UPPER() and LOWER().
✅ Trimming Spaces & Characters: Use LTRIM(), RTRIM(), and STUFF() to clean up text.
✅ Formatting Data: Learn how FORMAT() improves number and date presentation.
✅ Pattern Matching: Use PATINDEX() to locate patterns in text.
✅ 🎯 Advanced string formatting using `FORMAT` for numbers, dates, and times.
💡 Practical SQL queries applied to the Superstore dataset.
⏰ Time Stamp:
00:00 Introduction
00:48 Length of Customer Name
01:30 Extract First 10 Chars
02:25 Explore CharIndex Function
07:05 Extract First Name using Left and CharIndex
08:30 Extract Last Name using Left and CharIndex
10:10 Example of Left and Right with Variable
13:10 String Lower and Upper
13:45 Reverse Function of String
14:05 RTrim and LTrim of String
15:50 Suff String Function
17:28 SQL Substring Function
22:10 SQL PatIndex Function
23:10 SQL Format Function (Number, Date, Time)
📂 Example Databases:
EmployeeDB: Explore employee data like income, grades, and departments.
Superstore: Dive into sales metrics by region and category.
DataSet: https://github.com/AbhisheakSaraswat/...
📁 Source Code: https://github.com/AbhisheakSaraswat/...
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#sqltutorial #sqlforbeginners #stringfunctions #dataanalysis #sqltips #learnsql #SuperstoreDataset #sqlqueries #datamanipulation #sqlserver #CHARINDEX #left #rights #substring #sqltraining #techtutorialsgyan #sqlmastery #sqlbasics
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