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.

In his contribution, Gary Lidington, vice president of marketing at Xelerated, Inc., (Burlington, Mass.) discusses how the time has come to shift to a more purely data flow architecture, because ...

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, ...

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

Conclusions Wave has been interesting to me since it first disclosed its novel data flow architecture for AI nearly two years ago. Now it is showing its ambitions to become a much larger force in ...

Data experts recommend an iterative approach, or looking at data architecture on a project or business case basis. Otherwise, the work risks becoming unmanageable and failing to deliver business ...

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 ...

Individual data zones in the lake can be organized by creating internal subzones. For instance, a landing zone can have two or more subzones depending on the data source (batch/streaming).