Description: Unstructured data refers to data that does not have a predefined data model and is often rich in text. Unlike structured data, which is organized into tables and columns, unstructured data can include a variety of formats such as free text, images, videos, emails, and social media posts. This lack of structure makes its analysis and processing more complex, but also richer in information. Unstructured data represents a large portion of the total volume of data generated in today’s world, making it a valuable resource for organizations seeking to gain meaningful insights. The ability to extract value from this data is crucial in areas such as natural language processing, artificial intelligence, and data analytics, where advanced techniques are used to turn unstructured data into useful and actionable information. Its relevance has increased with the rise of technologies like machine learning and data mining, which allow companies to discover hidden patterns and trends in large volumes of unstructured information.
