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Workflow Engine

CP4D has so many components that run simultaneously, however, the orchestration is not there. In Data & AI platforms there should be an orchestration framework that gives the ability to build and maintain workflows. Hence, we can automate the end to end pipeline as described in all CP4D customer presentations

There are a countless number of use-cases for workflow orchestration in Data & AI. Having such a feature in CP4D would give it an edge over the competitors.

Competition: Apache Oozie is a perfect example for such a workflow framework. Oozie is available on AWS, Databricks and Azure cloud services.

  • Avatar32.5fb70cce7410889e661286fd7f1897de Guest
  • Jul 11 2020
  • Planned for future release
Who would benefit from this IDEA? Customer
How should it work?

Here is an example,

there is a data pipeline that is built using Data Stage to bring some data in CP4D, then that data should be consumed by some python scripts to build models or whatever task it is, then deploy to WKC. To run such a workflow, we count on the jobs in APIs which are not efficient. Workflows should be responsible for having this "automation" of the pipeline, to execute specific scripts once the data is available and deploy new models or features.

Idea Priority High
Priority Justification Customers are asking about such a feature. Most of IBM competitors do have that feature.
  • Attach files
  • Avatar40.8f183f721a2c86cd98fddbbe6dc46ec9
    Guest commented
    28 Aug 03:36pm

    Kubeflow + Tekton based "orchestration flows" capability planned for 1H 2021 in CP4D.

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