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Save Dataset Node

The Save Dataset node allows you to save and version your dataframes as reusable assets in Visual Notebooks. These datasets can be shared with team members and used across different visual notebooks, enabling efficient collaboration.

Configuration

FieldDescription
Node NameName displayed in the workspace Optional - Defaults to none Used to identify the node in your workspace
Dataset NameName for this version of the dataset Required Identifies this specific version of the dataset
DescriptionDataset description Optional Helpful context about the dataset's contents and purpose
TopicDataset topic name Required Groups related datasets together - can be new or existing

Node Inputs and Outputs

TypeDescription
InputVisual Notebooks dataframe
OutputShareable dataset asset

Usage Guide

Creating a New Dataset

  1. Connect a Save Dataset node to any node with a dataframe output
  2. Configure the node:
    • Enter a descriptive name for this dataset version
    • Choose a topic name (select existing or create new)
    • Add an optional description
  3. Click Run to save the dataset

Save Dataset configuration Figure 1: Configuring and running a Save Dataset node

Accessing Saved Datasets

  1. Navigate to the Assets tab at the top of the canvas
  2. Expand the Datasets section
  3. Select the Owned tab to view your datasets

Your saved datasets will be organized by topic name. You can:

  • Preview dataset contents and metadata
  • Add datasets directly to your workspace
  • Share datasets with team members

Assets tab view Figure 2: Accessing saved datasets from the Assets tab

Dataset Versioning

You can create multiple versions of a dataset under the same topic:

  1. Add another Save Dataset node to your workspace
  2. Configure the node:
    • Enter a new version name
    • Select the existing topic name
  3. Run the node to save the new version

Dataset versioning Figure 3: Creating multiple versions of a dataset

Viewing Dataset Versions

When previewing a dataset from the Assets tab, you can see all saved versions:

  • Each version shows its unique name
  • Versions are organized chronologically
  • All versions remain accessible

Version management Figure 4: Managing multiple dataset versions

Example Workflow

To practice using the Save Dataset node, you can:

  1. Import the sample data using a CSV node
  2. Process the data as needed
  3. Save versions of the dataset at different stages:
    • Raw data version
    • Cleaned data version
    • Analyzed data version

Complete workflow Figure 5: Example workflow showing dataset versioning

Remember:

  • Use the same topic name to create versions of the same dataset
  • Use different topic names to create entirely new datasets
  • Add descriptive version names and descriptions for better organization
  • Preview datasets from the Assets tab to manage versions and access points
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