Data Science Lab
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        • Notebook
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            • Creating a Notebook
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          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
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  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for PySpark Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Operations

Secrets

Generate Environment Variables to save your confidential information from getting exposed.

PreviousCopy Path (for Sandbox files)NextVariable Explorer

Last updated 2 years ago

You can generate Environment variables for the confidential information of your database using the Secret Management function. Thus, it saves your secret information from getting exposed to all the accessible users.

Pre-requisite: It is mandatory for the users to configure the using the Admin module of the platform before attempting the Secret option inside the Data Science Lab module.

Accessing the Secrets tab under Notebook

Once the Secret Management has been configured from the Admin module it will have the Secret Key and related fields as displayed below:

  • Navigate to a Notebook inside the Data Science Lab module.

  • Open the Secrets tab from the right-side.

  • The newly created Secret Key gets listed below.

  • Click the drop-down icon next to the Secret Key name.

  • The details of the selected Secret Key gets opened.​​

  • Add a new Code cell.

  • Select the Secret Keys by using the given check boxes.

  • The selected details get entered in the code cell.

Please Note:

  • The following image indicates how we can verify whether the database is connected successfully or not by using the encrypted credentials:

Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. to get redirected to the quick start flow page.

Click here
Secret Management
The encrypted secret key details gets accessible inside a code cell.