Semi-structured data is here to stay, and it offers the potential for business advantage to companies that know what to do with it. Mark Whitehorn has advice on how to do that.

We look at alternatives to relational databases that have emerged to help bring some structure to unstructured data and gain valuable insight by making it semi-structured.

Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

Structured and Semi-Structured Data: Foundations of Organizational Environments Relational databases have formed the backbone of organizational data environments for many years.

I’d like to call this kind of data “semi-structured,” and add that notion to our taxonomy. Other common forms of semi-structured data are Web and scientific data.

Structured data is organized in a specific manner, making it easily searchable. Examples include databases where names, addresses and other details are stored in distinct rows and columns.