Data can be classified into three main categories: structured, unstructured, and semi-structured. Each type has distinct characteristics and use cases. Here’s an explanation of each, along with suitable examples: 1. Structured Data Definition : Structured data is highly organized and easily searchable. It is often stored in relational databases and follows a strict schema, making it simple to enter, query, and analyze. Characteristics : Fixed fields and data types. Typically stored in tables (rows and columns). Easily processed by algorithms. Example : A customer database in a retail company might include tables for customers, orders, and products. Each table has predefined columns like CustomerID, Name, Email, OrderID, and ProductName. A SQL query can easily retrieve specific information, such as all orders placed by a particular customer. 2. Unstructured Data Definition : Unstructured data lacks a predefined format or structure. It is often text-heavy and may include various typ...
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