SeedScientific reports the amount of data generated every day will probably reach 463 exabytes within the next three years. Most people cannot wrap their heads around how much this truly is.

There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

In this article, we look at structured data, unstructured data, and how semi-structured data brings some order from potential chaos. And brings benefits to organisations that want to gain value ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

An article about Schema structured data inspires discussion on alt-SEO adaptation for emerging AI technologies SEJ STAFF Roger Montti November 12, 2024 ...

Unlike structured data, which fits neatly into rows and columns in a database, unstructured data is usually in its raw form, often comprising text, images, audio, or video.

Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

Those who seamlessly manage both structured and unstructured data set themselves up to bridge the gap between raw data and insights that meaningfully drive the business forward. The era of 400 ...

Unstructured data is not organised in a predetermined way and may be challenging to process. E-mails, posts on social media, pictures and videos are all examples of this type of data.

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 ...