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DQL vs DML Difference | SELECT vs INSERT UPDATE DELETE #SQL #datascience #dataanalyst #mysql
What is the difference between DQL and DML in SQL?
In this short video, you will understand the core difference between Data Query Language (DQL) and Data Manipulation Language (DML) in a simple and clear way.
DQL is used to read and analyze data using SELECT, while DML is used to modify data using INSERT, UPDATE, and DELETE commands.
🔍 What you will learn:
• What is DQL (Data Query Language)
• What is DML (Data Manipulation Language)
• SELECT vs INSERT, UPDATE, DELETE
• Difference between reading and modifying data
• Real-world use in data analysis and backend systems
💡 Why this is important:
DQL and DML are fundamental concepts in SQL, widely used in data science, data analysis, backend development, and database management systems.
🎯 Who should watch:
• Beginners learning SQL
• Data science and data analysis students
• Developers preparing for interviews
🌍 Global relevance:
Used across USA, UK, Canada, Europe, UAE, and other tech-driven countries in real-world applications.
👉 Follow NandDevTech for simple tech explained 🚀
#sql #dql #dml #database #dbms #datascience #dataanalysis #coding #programming #learnsql #backend #softwareengineering #shorts #youtubeshorts #tech
Видео DQL vs DML Difference | SELECT vs INSERT UPDATE DELETE #SQL #datascience #dataanalyst #mysql канала NandDevTech
In this short video, you will understand the core difference between Data Query Language (DQL) and Data Manipulation Language (DML) in a simple and clear way.
DQL is used to read and analyze data using SELECT, while DML is used to modify data using INSERT, UPDATE, and DELETE commands.
🔍 What you will learn:
• What is DQL (Data Query Language)
• What is DML (Data Manipulation Language)
• SELECT vs INSERT, UPDATE, DELETE
• Difference between reading and modifying data
• Real-world use in data analysis and backend systems
💡 Why this is important:
DQL and DML are fundamental concepts in SQL, widely used in data science, data analysis, backend development, and database management systems.
🎯 Who should watch:
• Beginners learning SQL
• Data science and data analysis students
• Developers preparing for interviews
🌍 Global relevance:
Used across USA, UK, Canada, Europe, UAE, and other tech-driven countries in real-world applications.
👉 Follow NandDevTech for simple tech explained 🚀
#sql #dql #dml #database #dbms #datascience #dataanalysis #coding #programming #learnsql #backend #softwareengineering #shorts #youtubeshorts #tech
Видео DQL vs DML Difference | SELECT vs INSERT UPDATE DELETE #SQL #datascience #dataanalyst #mysql канала NandDevTech
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7 апреля 2026 г. 13:05:05
00:00:20
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