Data-management

An overview of the benefits and limitations of using Relational Database Management Systems (RDBMS).

SQL data types define the kind of values that can be stored in a column and determine how the data is stored, processed, and retrieved. 📊 Discover common types like numeric, character, date/time, binary, and boolean, and learn why choosing the right type is key to optimizing storage and boosting query performance! 🔍

SQL keywords are reserved words that have special meanings within SQL statements. These include commands (like SELECT, INSERT, UPDATE), clauses (such as WHERE, GROUP BY, HAVING), and other syntax elements that form the structure of SQL queries. Understanding SQL keywords is fundamental to writing correct and effective database queries.

SQL (relational) and NoSQL (non-relational) databases represent two different approaches to data storage and retrieval. SQL databases use structured schemas and tables, emphasizing data integrity and complex queries through joins. NoSQL databases offer more flexibility in data structures, often sacrificing some consistency for scalability and performance. The choice between SQL and NoSQL depends on factors like data structure, scalability needs, consistency requirements, and the nature of the application.