Unstructured data is the third and last type of data, which does not contain any pre-defined model or pre-defined structure. Unstructured data are not organised in predefined manner. These data contain information or data such as dates, time, images, videos, facts, graphs and other complex subjects. Thus, the results are very much complicated and irregular to understand using traditional programs as compared to data stored in a different format in databases. Technology such as data mining, machine learning and text analytics serves various methods to find hidden patterns or interpret the unknown information.
Common techniques used for structuring text involve attaching metadata with the file, or part of speech tagging or any further data mining process. Unstructured information can be enhanced and tagged with different address ambiguities and relevancy based techniques, which can be further used to facilitate search and discovery. Common examples of unstructured data may include journals, images, text, pdf, audio, video, analogue data, health records, documents, spreadsheets, e-mail, web texts, files and many more. Main content displayed by unstructured data does not contain any proper information or properly structured source, it basically comes from the packaged in objects.
