Data architecture is the models, standards and rules that govern how organizations collect, store, transform, distribute and use data. Even today, IT largely controls the flow of data at many ...

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 ...

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 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.

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 ...