Data architecture is a set of rules, policies, standards and models that govern and define the type of data collected and how it is used, stored, managed and integrated within an organization and its database systems. It provides a formal approach to creating and managing the flow of data and how it is processed across an organization’s IT systems...
Bleeding edge refers to technology that has been released but is still not ready for the general public due to the fact that it has not been reliably tested. Bleeding edge technology is released in beta to early adopters in order to smooth out compatibility issues, user interface problems and other underlying design flaws and bugs that slipped through early testing.
Bleeding edge is part pun and part ranking of the readiness of the technology for market. Bleeding edge technology is on its way to becoming cutting edge technology, after which it becomes leading edge as more companies release competing products. Finally, the technology becomes standard and everyone is on the look for the next big thing.
Bleeding edge technology suggests that a greater degree of risk is involved for the consumers or organizations that adapt it. This risk could take the form of limited support, uncaught problems and compatibility issues to name a few.
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