Difference between revisions of "Data Flow"

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Since Data can be thought of as Page, File, or Services, we will explain how to use this generalized abstraction to manage data workflows:
For all workflows, it must involve time, which provides an implicit ordering structure. In the world of [[PKC]], we may leverage this ordering property to orchestrate [[data flow]]s.
 
Since Data can be thought of as Page, File, or Services, we will explain how to use this generalized abstraction to manage data [[workflow]]s:
=PageFlow=
=PageFlow=
[[PKC]] is designed as a symmetric data container to enable convenient deployment and operation of data workflow. Another way to think about the [[PKC]] is how it uses web pages to connect data, therefore, one can think of it as [[PageFlow]].
[[PKC]] is designed as a symmetric data container to enable convenient deployment and operation of data workflow. Another way to think about the [[PKC]] is how it uses web pages to connect data, therefore, one can think of it as [[PageFlow]].

Latest revision as of 08:38, 9 September 2021

For all workflows, it must involve time, which provides an implicit ordering structure. In the world of PKC, we may leverage this ordering property to orchestrate data flows.

Since Data can be thought of as Page, File, or Services, we will explain how to use this generalized abstraction to manage data workflows:

PageFlow

PKC is designed as a symmetric data container to enable convenient deployment and operation of data workflow. Another way to think about the PKC is how it uses web pages to connect data, therefore, one can think of it as PageFlow.

FileFlow

Once a image, video, sound file, or a file that represents the compressed data in a directory structure, the entire file is thought of as a unit of abstraction, to be submitted in a FileFlow.

ServiceFlow

To manage a distributed system, services are given unique names in a network environment, so that every computing service can be identified in a ServiceFlow.