What is Semi-Structured Data?

Semi-structured data refers to data that is not captured or formatted in conventional ways, such as those associated with a traditional database fields or common data models. It is also not raw or totally unstructured and may contain some data tables, tags or other structural elements. Graphs and tables, XML documents and email are examples of semi-structured data, which is very prevalent across the World Wide Web and is often found in object-oriented databases.

Teradata Take: As semi-structured data proliferates and because it contains some rational data, companies must account for it within their big data programs and data architectures.