Unstructured data represents information that does not have a predefined data model or schema.
Unstructured data consists of text files and documents, server, website and application logs, images, various types of sensor data, video and audio files, email correspondence, and social media data which may come in any of these formats
Nowadays, most of the data organizations store is unstructured data which can be difficult to classify and manage.
Unstructured data can’t be processed and analyzed via conventional data tools and methods. There are different techniques that can help you interpret information from unstructured data, like natural language processing (NLP) or text analytics.