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Update developers/compute-to-data/compute-workflow.md

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Co-authored-by: Alex Coseru <alex.coseru@gmail.com>
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@ -33,7 +33,7 @@ Below, we'll outline each step in detail 📝
14. The pod configuration informs the operator engine that it's ready to start the job. 14. The pod configuration informs the operator engine that it's ready to start the job.
## Running the Algorithm on Data Asset(s) ## Running the Algorithm on Data Asset(s)
15. The operator engine launches the algorithm pod on the Kubernetes cluster. 15. The operator engine launches the algorithm pod on the Kubernetes cluster, with volume containing data asset(s) and algorithm mounted.
16. Kubernetes runs the algorithm pod. 16. Kubernetes runs the algorithm pod.
17. When the algorithm completes processing the dataset, the operator engine receives confirmation. 17. When the algorithm completes processing the dataset, the operator engine receives confirmation.
18. Now that the results are available, the operator engine runs the script on the pod publishing component. 18. Now that the results are available, the operator engine runs the script on the pod publishing component.