GitHub / aws-samples / aws-stepfunction-sagemakerprocessingjob-deploynotebooks
Jupyter notebooks are widely used by Datascientists for their data transformation workloads. There are scenarios where the notebook needs to be scheduled and run in regular interval and they need to be productionize. This repo provides a framework for the Datascientists to productionize their workloads dynamically (based on the notebooks) using AWS Stepfunctions with Service Integration to Sagemaker Processing Job.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Faws-stepfunction-sagemakerprocessingjob-deploynotebooks
PURL: pkg:github/aws-samples/aws-stepfunction-sagemakerprocessingjob-deploynotebooks
Stars: 1
Forks: 4
Open issues: 0
License: mit-0
Language: Python
Size: 268 KB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 2 years ago
Pushed at: about 3 years ago
Last synced at: 8 days ago
Topics: awsdatasciencesdk, sagemakerprocessingjob, stepfunctions