The data can be grouped into three categories: structured, unstructured, and semi-structured. Big Data is characterized by its volume, variety, and velocity.

The question asked was about how to choose structured data and what the effect of it would be. Mueller says it’s not so much about what structured data matches a page.

You may not have structured all the data already. But then, all the digital, papers, structured, and non-structured data with your company is now Big Data.

Here’s why structured data matters, key schema types to use and advanced techniques to boost visibility in rich results.

There are lots of questions about unstructured data and its impact on the data enterprise. Can we start with a definition? What we're really doing is designating our data as structured or ...

Here’s what you need to know about structured data, including why it matters, important trends, key schema types, advanced techniques and more.

Contributor Eric Enge recaps a session from SMX Advanced on structured data markup in its many forms.

See my blog on Master Data in Big Data Management for more on some ideas for linking together structured and unstructured data and automation techniques.

Not every litigated case involves structured data, but for those that do, getting the e-discovery process right can make or break your case.