Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Homepage
  • List Projects
  • List Feature Stores
  • Create
    • Create Project
      • Container Status Message
    • Create Feature Store
  • Registered Models and APIs
  • Settings
  • Trash
  • Tabs for a DSL Project
    • Workspace
      • Workspace Folders
        • Repo Folder Attributes
        • Repo Folder Attributes for a Repo Sync Project
        • Utils Folder Attributes
          • Utility Actions
        • Files Attributes
      • Working with the Workspace tab
        • Create
        • Import
          • Importing Notebook
          • Pull from Git
        • Adding File and Folders
      • Linter
      • Git Console
      • Adjustable Repository Panel
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
      • Delete a Model
    • AutoML
      • Creating AutoML Experiment
      • AutoML List Page
        • View Explanation
          • Model Summary
          • Model Interpretation
            • Classification Model Explainer
            • Regression Model Explainer
            • Forecasting Model Explainer
          • Dataset Explainer
  • Data Science Notebook
    • Preview File
    • Save as Notebook
    • .ipynb File Cells
      • Using a Code Cell
      • Using a Markdown Cell
        • Expanding and Collapsing Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons from Header
    • Notebook Actions
      • Register
        • Export
        • Register as a Job
      • Notebook Version Control
      • Share
      • Delete
      • Information
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Reading Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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  1. Notebook Operations

Writers

This page explains the Writers tab available in the right-side panel of the Data Science Notebook.

PreviousVariable Explorer

The Data Science Lab module provides a Writers tab inside the Notebook to write the output of the data science experiments.

Check out the illustration on how to use the Writers operation inside a DS Notebook.

  • Navigate to a code cell with dataset details.

  • Run the cell.

  • The preview of the dataset appears below.

  • Click the Secrets tab to get the registered DB secrets.

  • Select the registered DB secret keys from the Secrets tab.

  • Add a new code cell.

  • Get the Secret keys of the DB using the checkboxes provided for the listed Secret keys.

  • Add a new code cell.

  • Open the Writers section.

  • Use the given checkbox to select a driver type for the writers.

  • The code gets added to the newly added cell.

  • Provide the Secret values for the required information of the writer such as Username, Password, Host, Port, Database name, table name, and DataFrame.

  • Run the code cell with the modified database details.

  • A message below states that the DataFrame has been written to the database. The data gets written to the specified database.

Please Note: The supported DB writers are MYSQL, MSSQL, Oracle, MongoDB, PostgreSQL, and ClickHouse.

Writers inside a DS Notebook