In general, unstructured data is information that is not arranged according to a pre-set data model or schema, and therefore cannot be stored in a traditional relational database or RDBMS.

Similarly unstructured values are text data that has no patterns associated with it. It is like free text data and can be split into common and uncommon types.

Common types Data that is common across verticals. Examples: first/last name , titles, comments, chat text, email text etc.

Telmai can offer:

Frequency analyzer to identify placeholders or over-represented data

Statistical analysis of built-in features (length, spaces, tokens etc)

Built-in validators, like names finder (Rosette)

Language detection (separate data from different geographies)

[ for distant future] Tokenizer and NLP-based normalizer for attributes such as titles

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