Key Differences Between Structured and Unstructured Data (Graphic: Business Wire) January 15, 2021 11:26 AM Eastern Standard Time ...

The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information in different ways.

If you search for a monkey in the jungle, it's tougher than finding one at the zoo, and if yousearch for unstructured content, it's tougher than finding structured content. Completelydifferent search ...

Structured data volumes are growing more slowly than stores of unstructured and semi-structured information. Research firm IDC says unstructured data is growing at 29.8% year-on-year, against 19.6 ...

Data that is defined as unstructured is growing at 55-65 percent each year. Unstructured data can’t be easily stored in a traditional column-row database or spreadsheet like a Microsoft Excel table.

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock ...

Analysts at Gartner (gated) estimate that upward of 80% of enterprise data today is unstructured. This is a big data problem, to say the least.

Today at AWS re:invent 2024 the company announced a series of new services and updates designed to help make it easier for enterprises to get both structured and unstructured data into RAG pipelines.

It’s no wonder that unstructured data has gotten a bad rap: no one wants to deal with it, because legacy file systems didn’t make it easy. But there’s another way.

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.