Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help us here - along with ...

This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, today announced that its Global Data Platform can now be used to process, store and orchestrate data in ...

The cost of allowing data's value to decay, even briefly, is real. Revenue opportunities are missed, marketing spend is wasted, and operational inefficiencies creep in. A single failure can damage ...

The Progress Software subsidiary is pitching its new software for building distributed applications as peace-of-mind backup for businesses worried about server outages. Martin LaMonica is a senior ...

The global COVID-19 pandemic hasn’t slowed the exponential growth of data: IDC recently calculated that 64.2 zettabytes of data was created, consumed and stored globally in 2020. And the market ...

Today, Samsung Next, the venture capital arm of Samsung Electronics, announced it is making a strategic investment in Seattle-based Expanso, a startup looking to power distributed data processing. The ...

“The more digitized an industry is, the higher rate of adoption we are seeing,” said founder and CEO Haoyuan Li, citing increased use of Alluxio’s software in financial services, telecommunications ...

Despite the ongoing digital transformation, many organizations today still spend quite a bit of time manually processing information from countless documents. Because of the nature of digital files ...

Do data scientists really spend 80% of their time wrangling data? Yes and no. The implication is clear: if this stat is accurate, then the burden of provisioning data for their models impedes data ...