Unstructured “Big Data” Services
- Unstructured content is fundamentally different from structured data and must be treated in an entirely different way
- Search Technologies has unrivalled experience with unstructured content processing
- The keys to creating insight from unstructured content are; derived metadata provenance, process transparency and complexity control
Unstructured content requires careful preparation and the addition of new structure in the form of metadata. The approach taken to the creation of metadata will directly affect any analyses conducted, so carelessness leads to potentially misleading insights.
Structured and Unstructured Data are Fundamentally Different
Almost all structured data is produced in an automated way by computer programs, or where humans are involved, through the application of a consistent workflow process with built-in error checking.
Unstructured content is produced by humans; sometimes diligent, lazy, motivated, bored, conscientious, careless, always unique humans. Their collective output is highly variable.
Search Technologies has extensive experience in unstructured content processing, and we are actively engaged in a range of Hadoop-based projects. In addition to expertise, we also provide technologies, such as our Aspire content processing toolkit.
Contact us for an informal discussion of your unstructured content processing application.