• Why?
• Definition
• Example
• Point

“Dataset,” “data,” and “database” are related terms but refer to different concepts in the realm of information management.

1. Data: Data is a broad term that refers to raw facts, observations, measurements, or statistics that are collected, stored, and analyzed. Data can be in any form, such as text, numbers, images, audio, or video. It lacks context and organization until it’s processed and structured.
2. Dataset: A dataset is a structured collection of data, typically organized into rows (entries) and columns (variables or attributes). Datasets are often used in statistical analysis, machine learning, and data mining to derive insights or train models. Datasets can be small or large, ranging from a few records to millions or even billions of records. They can be stored in various formats such as CSV, Excel, JSON, or databases.
3. Database: A database is a structured collection of data that is organized and stored electronically in a computer system. It consists of one or more tables or collections of data organized in a way that facilitates efficient storage, retrieval, and manipulation. Databases are managed by database management systems (DBMS), which provide functionalities for storing, retrieving, updating, and managing the data. Databases can range from simple ones like SQLite to complex ones like Oracle, MySQL, or PostgreSQL, depending on the requirements and scale of the application.

In summary, data is the raw material, a dataset is a structured collection of data, and a database is a structured collection of data organized and stored electronically, usually managed by a database management system.