In SQL, what does the acronym "CRUD" stand for?

In SQL, what does the acronym "CRUD" stand for?

• A. Create, Read, Update, Delete
• B. Collect, Retrieve, Update, Design
• C. Copy, Replace, Undo, Delete
• D. Create, Resolve, Update, Delete

Answer: (A)

The acronym "CRUD" stands for "Create, Read, Update, Delete." This term is fundamental in the context of database management and application development, as it encapsulates the four basic operations that can be performed on data within a database. - "Create" refers to the operation of adding new records to a database. - "Read" is the operation that entails retrieving data from the database to view or utilize. - "Update" involves modifying existing records to reflect changes or updates needed. - "Delete" signifies the operation of removing records from the database. Understanding these operations is crucial for anyone working with databases, as they form the backbone of data manipulation and are essential when developing applications that interface with a database. This knowledge helps in forming a solid foundation for more complex database interactions and ensures that developers can effectively manage data lifecycle from creation to deletion.

The acronym "CRUD" stands for "Create, Read, Update, Delete." This term is fundamental in the context of database management and application development, as it encapsulates the four basic operations that can be performed on data within a database.

• "Create" refers to the operation of adding new records to a database.

• "Read" is the operation that entails retrieving data from the database to view or utilize.

• "Update" involves modifying existing records to reflect changes or updates needed.

• "Delete" signifies the operation of removing records from the database.

Understanding these operations is crucial for anyone working with databases, as they form the backbone of data manipulation and are essential when developing applications that interface with a database. This knowledge helps in forming a solid foundation for more complex database interactions and ensures that developers can effectively manage data lifecycle from creation to deletion.