📦 SQL vs NoSQL 📑 🌟 SQL (Structured Query Language) :Organized and follows strict rules (like books on specific shelves). ▶ Think of it like a well-organized library where every book is placed neatly on a specific shelf. ▶ The shelves are labeled with categories, and each book has a specific spot. ▶ You have a strict rule about how books are organized, and every book follows this rule. 🌟 NoSQL (Not Only SQL) : Flexible and can be organized in different ways (like books on shelves, in piles, or in boxes). ▶ Now, imagine a different kind of library where books are placed in different ways. ▶ Some books are on shelves, some are in piles, and some are in boxes. ▶ There are no strict rules about where to put the books. You can organize them in whatever way makes sense at the time. 🎨 Use Cases: 🎢 SQL: Good for situations where you need to keep things very organized and follow rules, like keeping track of a catalog of books in a library. 🎡 NoSQL: Good for situations where you ne...
📦 MySQL is a widely-used relational database management system (RDBMS) that uses Structured Query Language (SQL) to manage and manipulate data. SQL is divided into several categories, each serving a specific purpose: DDL, DML, DQL, TCL, and DCL. 1. Data Definition Language (DDL) DDL commands are used to define and manage database structures such as tables, indexes, and schemas. The main DDL commands include CREATE, ALTER, DROP, and TRUNCATE. ⭐ CREATE: This command creates a new database object. CREATE TABLE students ( id INT PRIMARY KEY, name VARCHAR(100), age INT ); ⭐ ALTER : This command modifies an existing database object. ALTER TABLE students ADD COLUMN email VARCHAR(100); ⭐ DROP : This command deletes an existing database object. DROP TABLE students; ⭐ TRUNCATE : This command removes all records from a table without deleting the table itself. TRUNCATE TABLE students;