Data everywhere may be the future of cloud-native and edge computing deployments, but the possibilities come with expense and management issues. The idea of distributed data is an old concept that ...

Managed from a single control plane, a distributed data cloud enables analytic applications to be provisioned at the point of need.

The goal of a distributed data stewardship model is to allow teams that are closest to the data to manage access and permissions while eliminating the bottleneck that currently exists with centralized ...

Data today is too distributed and too large to move it to where the processing is performed. Now, businesses must find ways to move the processing close to the data—and the closer, the better.

It is time to stop the stampede to create capacity to analyze big data and instead pursue a more balanced approach that focuses on finding more data sets and understanding how to use them to ...

The concept is deceptively simple. Data needs to be distributed to the regions where it’s needed. Actually, accomplishing that, however, can be challenging.

But as data becomes increasingly distributed, the world of data is changing — making governance more challenging, especially where operational use cases are a priority.

Tesla envisions turning its future cars into mobile distributed data centers where it can monetize a car's onboard computing power like Amazon AWS.

Blockchain and distributed ledgers are not quite the same thing. Learn how they are importantly different, and how they work together for data storage.