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Definition: Unstructured Data

Unstructured Data is information that either does not have a predefined data model or is not organized in a predefined manner. It often consists of free-form text, images, or other complex formats that do not fit neatly into database tables.

Key Characteristics:

  • Format: Lacks a rigid structure. Examples include emails, word processing documents, PDF files, presentations, images (JPEG, TIFF), videos, audio files, web pages, social media posts.
  • Analysis: Requires more advanced techniques for processing and analysis compared to structured data, often involving Natural Language Processing (NLP), Optical Character Recognition (OCR), and specialized search/indexing technologies.
  • Prevalence: Makes up a significant majority of enterprise data.
  • Helix Context: The MARS Data Mining Studio is specifically designed to process various unstructured (and semi-structured) file types, extract meaningful information, and structure it for analysis or output (p17, p182).