{"id":3195,"date":"2025-10-06T16:08:23","date_gmt":"2025-10-06T14:08:23","guid":{"rendered":"https:\/\/tecnologia.euroinnova.com\/datos-estructurados-vs-datos-no-estructurados-diferencias\/"},"modified":"2026-08-05T11:04:52","modified_gmt":"2026-08-05T09:04:52","slug":"differences-structured-data-unstructured-data","status":"publish","type":"post","link":"https:\/\/tecnologia.euroinnova.com\/en\/diferencias-datos-estructurados-no-estructurados","title":{"rendered":"Structured vs. unstructured data: differences"},"content":{"rendered":"

The world of data analysis is a vast universe in its own right within the field of new technologies. When analysing data, we must first and foremost consider what type of data we are dealing with. This is no trivial matter. Depending on whether we are dealing with structured, unstructured or semi-structured data, we will approach it in one way or another.<\/span><\/p>\n

In this article, we explain in simple terms the different types of data that exist, what they entail and how they differ in terms of format, technology, analysis and practical applications.<\/span><\/p>\n

What is structured data?<\/span><\/h2>\n

Structured data is data that is organised into a defined and predictable format.<\/strong> They are generally found in relational databases and spreadsheets, where they are arranged in rows and columns with labels to identify them.<\/span><\/p>\n

Structured data is ideal for processing, analysing and visualising information in charts because it is easy to read and manipulate. It is usually organised visually into tables, rows and columns<\/strong>, so it is quite easy for the human eye to read.<\/span><\/p>\n

This structured data is stored in databases<\/a> relational<\/strong> which organise the information into interrelated tables using primary and foreign keys.<\/span><\/p>\n

Examples of structured data:<\/strong><\/p>\n