Full formTechnology
DMLstands forData Manipulation Language
Full Form of DML
What is DML?
Data Manipulation Language (DML) is a subset of SQL (Structured Query Language) used to insert, update, delete, and retrieve data from relational databases. Common DML commands include SELECT, INSERT, UPDATE, and DELETE. While SELECT is often considered a query command, it is grouped under DML in many RDBMS contexts. In India, DML forms the backbone of database operations for IT companies, government portals, educational applications, and banking systems. For example, an Indian bank’s core banking solution uses DML queries to update account balances or fetch customer records. Students preparing for GATE, NIELIT, or campus placements frequently encounter DML in database management system (DBMS) sections. Understanding DML is crucial for roles such as database administrator, data analyst, and software developer. DML ensures data integrity and supports transaction control when combined with TCL (Transaction Control Language) commands like COMMIT and ROLLBACK. In Indian tech curricula, DML is taught alongside Data Definition Language (DDL) and Data Control Language (DCL). Mastery of DML is essential for writing efficient queries in SQL-based systems like MySQL, PostgreSQL, and Oracle, which are widely deployed across Indian enterprises and government e-governance platforms.
DML का फुल फॉर्म
डेटा मैनिपुलेशन लैंग्वेज
Example
In the UPSC exam portal, DML queries are used to insert new applicant records and update hall ticket statuses.
DML — frequently asked questions
What is the full form of DML?
DML stands for Data Manipulation Language, a subset of SQL used to manage data in relational databases.
Is SELECT considered a DML command?
Yes, in most SQL implementations, SELECT is classified under DML because it manipulates data retrieval, though some treat it as a separate query language.
How is DML used in Indian government IT projects?
Indian e-governance platforms like DigiLocker or UIDAI use DML commands to update citizen records, issue documents, and maintain database consistency.