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.

LLMs can be an effective way to generate structured data from semi-structured data, although an expensive one. A team of Stanford and Cornell researchers claim to have found a technique to reduce ...

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.

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

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous ...