MLOps Conference

MLOps Conference

On DataOps, productionizing ML models, and running experiments at scale.

Aniruddha Chodhury


Productionize engineered data with feature store in Kubeflow Orchestration

Submitted Jun 23, 2021

In this session we will find out the building the feature store pipeline in Kubeflow with serving endpoint and alongside using the spark job with batch and real time kafka ingestion for offline and online extraction in Google Cloud Platform. And we will be tracking the metrics for the feature store in Grafana and Prometheus.


{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}