Unstructured and semi-structured storage needs As we’ve seen, unstructured data is more or less defined by the fact it is not created by use of a database.

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

But it is critically important for almost all organisations. Structured data volumes are growing more slowly than stores of unstructured and semi-structured information.

However, most data— estimates say 80-90% of all data and growing exponentially—is unstructured and semi-structured data. This data can be videos or satellite imagery, for example, gathered ...

Data Loss During Conversion: When converting unstructured or semi-structured data into structured formats, valuable context or details may be lost.

Examples of Unstructured Data Think about any kind of data that doesn’t have a recognizable structure and you have identified an example of unstructured data.

Data platforms are evolving, with new capabilities to bring the unstructured, semi-structured and structured data worlds together.