SQL Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)

Ans. SQL stands for Structured Query Language. It is a programming language used for managing and manipulating relational databases. SQL allows users to create, modify, and retrieve data from the database, as well as perform various operations such as inserting, updating, and deleting records.

Ans. Computer Science Engineering (CSE) is a branch of engineering that focuses on the design, development, and implementation of computer software and hardware systems. It combines principles of computer science, mathematics, and engineering to solve complex problems and create innovative solutions. CSE professionals work in various domains such as software development, data analysis, artificial intelligence, and network security.

Ans. SQL is widely used in Computer Science Engineering for managing and querying databases. It is used to store, retrieve, and manipulate large amounts of data efficiently. CSE professionals use SQL to design and create database schemas, write complex queries to extract specific data, and perform operations such as joining multiple tables and aggregating data. SQL is an essential skill for CSE professionals working with databases.

Ans. SQL offers several advantages in Computer Science Engineering: - Ease of use: SQL has a simple and intuitive syntax, making it easy to learn and use for database operations. - Scalability: SQL databases can handle large amounts of data and perform efficiently even with complex queries. - Data integrity: SQL provides mechanisms for enforcing data integrity constraints, ensuring the accuracy and consistency of the data. - Security: SQL offers robust security features to protect sensitive data, including user authentication, access control, and encryption. - Portability: SQL databases are compatible with various platforms and can be easily migrated or integrated with different systems.

Ans. Yes, SQL can be used for other purposes in CSE apart from managing databases. SQL can be used for data analysis and reporting, as it provides powerful tools for aggregating, filtering, and transforming data. It can also be used for data integration and migration, allowing data to be transferred between different systems or databases. Additionally, SQL can be used for data manipulation and transformation in data engineering workflows, such as ETL (Extract, Transform, Load) processes.