Modern AI demands new data platform architectures, ideally built on open data lakehouses that offer secure, centralized access to all data. For example, in industries like retail, AI-powered data ...

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 storage for unstructured data on-premise, in the cloud and across multiple locations. There are advantages to a hybrid approach, but there can be hidden costs, too.

Data Types. There are different categories for types of data. These are some examples of commonly associated documents for each data type. Protected: Other - SSN, driver's license number, ...

Automotive data storage requires a higher level of endurance, quality, and reliability. “Now, as the core evolves, we’ve started working directly with OEMs on the car’s partitioning of ...

One example where we can see data storage designed with the extremities of space in mind is in the automotive industry. Vehicles are no longer merely for transportation from point A to point B; ...

To meet moon-based storage demands, for example, enterprises should consider changing their thinking about having special NAND and space SSD hardware that isn’t necessary, as this will drive up ...

The prospect of DNA data storage is not merely theoretical. In 2017, for instance, ... At the Georgia Institute of Technology, for example, ...