The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

This first series of articles describe foundational steps that enable agile data warehouse development – something that has been a challenge in enterprise data management for years. My prior ...

The goals of data architecture are to match business requirements with data and system requirements and to manage data flow through the enterprise in accordance with organizational strategy.

Data is ready to be used immediately or used later ... In my Strata presentation, “Streaming architecture: Why flow instead of state?” I’ll explain how these technologies and revolutionize real world ...

The company says it will deliver its first hardware for alpha testing this summer and has publicly disclosed its data flow architecture. Unlike a GPU (which accepts work from a CPU, crunches the ...

Certainly, an effective data architecture needs to map the flow of information through the organisation. This, in turn, relies on a good understanding of the data being collected and held ...

The strategic combination of Wave’s AI data-flow architecture with MIPS classic CPU architecture is part of a new computing paradigm. Long-time industry observers will understand the storied ...

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, ...

The consumption zone is the last stage of general data flow within a data lake architecture. In this layer, the results and business insights from analytic projects are made available to the ...

such as the impressive but still arcane data flow architecture, on the other. It will be something in between, or something totally new that serves the diverse needs of the new network-centric ...