Database Management involves the creation, organization, and maintenance of data in a structured and efficient way using a Database Management System (DBMS). Examples of DBMS include: Relational: MySQL, PostgreSQL, Oracle, SQL Server NoSQL: MongoDB, Firebase, Cassandra SQL (Structured Query Language) is the standard language used to interact with relational databases. It allows you to: Create and manage databases and tables Insert, update, delete, and retrieve data Use queries, joins, grouping, filtering, and sorting Define constraints, indexes, views, and stored procedures Why it’s important: Data is everywhere: From web apps to mobile apps to enterprise systems. Data integrity and efficiency: Proper database design improves performance, avoids redundancy, and maintains accuracy. Real-world use: Every modern application uses some form of data storage. Career relevance: SQL is one of the most in-demand skills across software, data analysis, and business intelligence roles.