We look at unstructured and semi-structured data and find increasing amounts of production workloads that have their own storage hardware – file and object – needs, including flash ...

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.

These data have become known throughout industry as “unstructured data,” a catchall term that lacks precision because much of the data included under that rubric actually have structured components.

Unstructured data can be in a variety of formats, such as PDF files, Microsoft Office applications, e-mails, video, audio and text files. When more storage is required, there’s a financial ...

The other 80% generally tends to be unstructured data, including call transcripts, text and PDF documents, emails, messages, order forms, audio and image files, and the like.

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

eWEEK DATA POINTS: Why classifying various formats such as emails, documents, spreadsheets, presentations, PDFs and audio and image files lacking fixed fields must be done in advance in storage so ...

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 ...

The data management system then moves the tagged cold data from expensive primary storage (a.k.a. a network-attached storage or NAS-system) to an economical secondary location, such as cloud ...

As a data professional, you have heard the term 'unstructured data.' And you probably know what is meant by that term, as well. For those who do not, unstructured data is a general term used to define ...