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.

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

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 ...

The data in a data lake can be from multiple sources and structured, semi-structured, or unstructured. This makes data lakes very flexible, as they can accommodate any data.

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Combines Structured and Unstructured Data The data held in various sources such as relational and non-relational databases will be both structured and unstructured.

The agency selected MarkLogic’s Data Platform to meet its needs. It offered integration of internal data—resumes, annual reviews, self-appraisals, training history and other HR information—with travel ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

Semi-structured data Falling somewhere in between structured and unstructured data, semi-structured data might have some organizational elements but doesn’t conform to the strict structure of ...