With a data flow architecture, I/O can be transparently offloaded to I/O processors inserted into the processing pipeline. These processors behave as a seamless extension to the processing pipeline.

Mired in supportive tasks and complex architecture, the true cost is innovation. This is why a company's data architecture is more important than the data itself.

But then you can customize the architecture of the core to support data flow operations with the tight integration between the comms links and the processor.” Imperas CEO Simon Davidmann agreed, ...

“One of the things that my office is really honing in on are data pipelines and data flow architecture, so that we can ensure that that data set from that authoritative source is not being ...

Wave Computing, a Silicon Valley AI startup specializing in data flow processing of Deep Neural Networks, has acquired MIPS Technologies for an undisclosed amount. Wave projects that the ...

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

As in all real world situations, it is not an either/or situation, event control and data processing on one side and to something totally untried, outside the university and reach environment, such as ...

To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

The flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.