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.

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, ...

Durability of streaming messages may seem like a surprising requirement, but it is the key to flow versus state. The stream serves as an immutable log of sequenced event data that can be referenced by ...

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

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 ...

A multi-layered cloud security framework improves data privacy using flow marking, cryptographic validation, and randomized obfuscation.

Data flow monitoring has existed for many years. My first experience was around 10 to 12 years ago when talking to members of the security team at a large US networking company. While monitoring ...

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

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