Here’s why structured data matters, key schema types to use and advanced techniques to boost visibility in rich results.

This could be structured data, semi-structured data, or even unstructured data such as images (.jpg) and videos (.mp4). The benefits of a data lake for enterprises include the following: ...

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

Although applying gen AI to structured and semi-structured data will likely provide operational efficiencies, organizations must understand that the process will not be without pitfalls ...

The question asked was about how to choose structured data and what the effect of it would be. Mueller says it’s not so much about what structured data matches a page.

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.

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 ...

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 visualization is a powerful tool for supporting decision-making. Researchers at the University of Tsukuba systematically reviewed major data visualization research papers from the past 16 years, ...