Unstructured data refers to information that does not have a predefined format or structure, making it difficult to organize and analyze. Examples include text from emails, social media posts, images, videos, and audio files. Unlike structured data, which is easily stored in databases, unstructured data requires more complex methods for processing and interpretation. This type of data is increasingly important in fields like data analytics and machine learning, as it can provide valuable insights. Organizations often use tools and techniques, such as natural language processing and image recognition, to extract meaningful information from unstructured data sources.