There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

Managing unstructured data is a daunting task. ... Tackling Unstructured and Semi-Structured Data 3 minute read. By Marisa Peacock. March 2, 2009. Enterprise CMS. Share. Share. Copy link. Email.

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

A step above its traditional predecessor is semi-structured data, which arrived in response to the rigidity of table-based formats. Semi-structured data retains some organizational elements of ...

By David Meer From strategy+business In my last post, I offered a taxonomy of “big data.” I limited the discussion to externally gathered, customer-oriented data, which I then divided into two ...

Commentary - Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to ...