Data-Centric Architecture Forum
Monday February 1st - Wednesday February 3rd, 2021 |
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Online |
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$100 |
Data and the subsequent knowledge derived from information are the most valuable strategic asset an organization possesses. Despite the abundance of sophisticated technology developments, most organizations don’t have disciplines or a plan to enable data-centric principles.
DCAF 2021 will help provide clarity.
Our overarching theme for this conference is to make it REAL. Real in the sense that others are becoming data-centric, it is achievable, and you are not alone in your efforts.
Join us in understanding how data as an open, centralized resource outlives any application. Once globally integrated by sharing a common meaning, internal and external data can be readily integrated, unlike the traditional “application-centric” mindset predominantly used in systems development.
The compounding problem is these application systems each have their own completely idiosyncratic data models. The net result is that after a few decades, hundreds or thousands of applications implemented have given origin to a segregated family of disparate data silos. Integration debt rises and unsustainable architectural complexity abounds with every application bought, developed, or rented (SaaS).
Becoming data-centric will improve data characteristics of findability, accessibility, interoperability, and re-usability (FAIR principles), thereby allowing data to be exported into any needed format with virtually free integration.
Learn from the active practitioners and adopters what data-centric capabilities can bring.
DCAF 2021 will help provide clarity.
Our overarching theme for this conference is to make it REAL. Real in the sense that others are becoming data-centric, it is achievable, and you are not alone in your efforts.
Join us in understanding how data as an open, centralized resource outlives any application. Once globally integrated by sharing a common meaning, internal and external data can be readily integrated, unlike the traditional “application-centric” mindset predominantly used in systems development.
The compounding problem is these application systems each have their own completely idiosyncratic data models. The net result is that after a few decades, hundreds or thousands of applications implemented have given origin to a segregated family of disparate data silos. Integration debt rises and unsustainable architectural complexity abounds with every application bought, developed, or rented (SaaS).
Becoming data-centric will improve data characteristics of findability, accessibility, interoperability, and re-usability (FAIR principles), thereby allowing data to be exported into any needed format with virtually free integration.
Learn from the active practitioners and adopters what data-centric capabilities can bring.