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Data Explorer Operator

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deekshahegde86 edited this page Dec 21, 2020 · 39 revisions

Data Explorer provides ready to use pre-configured data science environment for experimentation.Bringing the promise of notebooks to Kubernetes and OpenShift as an Operator pattern. Deploy in the cloud or your data center or local laptop with ready to use data and notebooks without burdening yourself with installation details. You can work as team or use your own project namespace.

Table of Contents Pre-Requisites

Types of Installation How to Install Operator How to access Dashboard.

Installation Types

Default:

When user installs Data Explorer Operator , the Operator deploys Data Explorer Dashboard with default configurations. Following are the default configurations:

CPU : 2

Mem: 8Gi

Note: This is the minimum CPU and Memory required for the dashboard to function.

Custom:

To deploy Data Explorer Dashboard with different CPU and Memory configurations follow the below steps:

  1. Delete the existing default DashboardWithJupyterHub Custom Request.

  1. Create Data Explorer Dashboard with custom CPU and Memory.

How to Access Dashboard

To access the Dashboard , follow these steps:

For support open an issue at https://github.com/rhm-samples/data-explorer-operator/issues.

OR

Contact us at edge@us.ibm.com

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