Unstructured data cannot always be handled in real time either. Clear rules should be defined around which data needs to be handled in which order. If the data is directly relevant to revenue then ...

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.

Data that falls outside of this scope has been referred to as unstructured data. Common examples of unstructured data include word processing documents and spreadsheets.

Examples of Unstructured Data: Emails: Emails contain free-form text, attachments, and metadata like sender and receiver information, making them a common example of unstructured data.

Every business has unstructured data but how many organisations fully understand how to unlock its value? While unstructured data has traditionally been regarded as of lesser amount than its more ...

Commentary - Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to ...

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.

Unstructured data can help companies gain a better understanding of their customers and their business. So why aren’t more organizations taking advantage?

As the level of unstructured data rises and hackers shift their focus to it, unstructured data is an issue that can no longer be placed on the enterprise IT back burner.