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.

Data can be classified as structured, semi-structured or unstructured – but what bearing do these classifications have on a company’s data-handling strategy? The short answer is that it is ...

Managing unstructured data is a daunting task. Good thing Digital Reef is here to help. Today, they emerge from stealth mode after two years of developing their unstructured data management ...

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

Just like a data lake, a data lakehouse is built to house both structured and unstructured data. This means that businesses that can benefit from working with unstructured data (which is pretty ...

Unstructured data is approximately 80% of the data that organizations process daily. This primer covers what unstructured data is, why it enriches business data, and how it speeds up decision making.

Instead, a new paradigm, one heavily reliant upon cognitive computing and its myriad capabilities, is necessary to effectively tame semi-structured and unstructured data, and to do so with the degree ...

Structured DB services in telecom are well established from an architecture and service model perspective. Telecom structured data sources are many and varied.