Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

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 ...

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 ...

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 ...

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

In a previous article, I discussed redefining the challenge facing companies that want to become data-driven. The way most people think about this problem—and the most commonly proposed solution—is ...

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 ...

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 ...

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 ...