Different sub-languages In SQL
Dikshant Sharma
Hi, I'm Dikshant Sharma, currently pursuing my Master of Computer Applications (MCA) from AKTU University. Passionate about Data Science, AI, ML, Big Data, NLP, Python, SQL, Data Visualization, Cloud, ETL, and BI.
?? Hello, Friends!
I’m Dikshant Sharma, and I’m diving into the world of SQL! Today, I’ve been exploring the sub-languages of SQL and learning how they help manage and manipulate data. ???
It’s fascinating to see how different SQL sub-languages work together to make data handling more efficient and effective.
In SQL, different sub-languages or components are used to perform various tasks. Understanding these sub-languages can help you effectively interact with databases and manipulate data. Here’s a brief overview of the key SQL sub-languages:
1. Data Definition Language (DDL)
DDL is used to define and manage database structures. It includes commands that create, alter, and delete database objects like tables, indexes, and schemas.
2. Data Manipulation Language (DML)
DML is used to retrieve, insert, update, and delete data within tables.
领英推荐
3. Data Control Language (DCL)
DCL is used to control access to data and manage permissions within the database.
4. Data Query Language (DQL)
DQL is specifically used to query and retrieve data. While it’s often considered part of DML, it focuses solely on querying.
5. Transaction Control Language (TCL)
TCL is used to manage transactions, ensuring data integrity and consistency.
Understanding these sub-languages will help you effectively interact with databases, ensuring you can perform a wide range of operations and maintain data integrity.