Configure Red Hat OpenShift Data Science

Published: Mar 16, 2024 by

Prerequisites

  • OpenShift Data Science Operator installed
  • S3 Endpoint is already configured and defined

Navigate to redhat-ods-applications namespace and click on rhods-dashboard
20240316191421 Login to access the following screen
20240316191450 Navigate to Data Science Projects
20240316191534 Create a data science project called edge-anomaly-detection-ds
20240316191728 20240316191759 Create workbench called edge-anomaly-detection
Use the following:

  • Image Selection: Standard Data Science
  • Use Default Cluster storage Configuration 20240316191848

Configure Stoage:

  • Reference link for s3 urls: https://docs.aws.amazon.com/general/latest/gr/s3.html
  • Click on Use a data connection under Data connections
  • Under Create new data connection Provide the following:
    • Name: storage-bucket
    • Access key: CHANGEME
    • Secret key: CHANGEME
    • Endpoint: https://s3.us-east-2.amazonaws.com
    • Region: us-east-2
    • Bucket: edge-anomaly-detection-yourname

20240316192041 Click on Open to open JypyterHub
20240316192432 JupyterHub is now open
20240316192552 Create Notebooks in workbench
Git URL: https://github.com/tosin2013/edge-anomaly-detection-notebooks.git 20240215160517 Clone the repo 20240316192648

Access the folder 20240316192812

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