Data modeling takes a more focused view of specific systems or business cases. There are several enterprise architecture frameworks that commonly serve as the foundation for building an ...

There are at least three distinct styles or patterns for event-driven architecture ... necessarily data updated as such. The data that's updated in the internal model of the system is defined ...

In my online travels, I recently came across this article on TechTarget that examines some of the differences between data architecture ... internally and used by systems as part of the ...

Dmytro Lazarchuk is a cofounder and CEO of Relokia with over eight years of experience in digital marketing and data ... architecture to make it more scalable, maintainable and adaptable ...

But if the logic and architecture of data systems do not align with the data’s inherent characteristics, it can result in problems such as model prediction errors, poor generalization ability ...

Healthcare organizations are awash in data. But not every health system is able ... an enterprise data architecture, which includes a plan for organizing data, a model for representing data ...

90% cache size reduction versus ... architecture design. For researchers and developers looking to optimize AI systems, STAR could represent a powerful tool for pushing the boundaries of model ...