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.

Unstructured data exists in huge volumes, but often actually it is semi-structured with metadata. We lift the lid on unstructured data and key approaches to its storage.

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

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 ...

As the demand for e-discovery grows, so too does the challenge of collecting and preserving digital information—including unstructured and structured data. Unstructured data, such as Word ...

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

“Nutanix is taking important steps to deliver comprehensive data services across both structured and unstructured data on a single platform with a common management interface that stretches ...

CommVault continues to leverage its single software platform to deliver comprehensive archiving capabilities, encompassing unstructured (e.g., file systems); semi-structured (e.g., Microsoft ...