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.

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.

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

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 ...

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

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

At its core, a lakehouse stores structured, semi-structured and unstructured data in low-cost object storage while layering on transactional features, schema enforcement and version control ...