Gaio DataOS
Gaio DataOS
Gaio DataOS
  • 👋 Welcome to Gaio DataOS
  • GETTING STARTED
    • Gaio DataOS Console
    • Quickstart
  • FUNDAMENTALS
    • Data Projects
    • Studio
    • Database
    • Workflow
  • Data Sources
  • TASKS
    • ETL
      • Builder
      • SQL
      • Source SQL
      • Insert Table
      • Insert Row
      • Update
      • Delete
      • Create Table
      • Quick Table
      • Quick Upload
      • Pivot Table
      • Unpivot Table
      • REST
      • Parameters to Table
      • Table to Parameters
      • Define parameter value
      • Users
      • CSV Web
      • CSV Local
      • Google Spreadsheet
    • Analytics
      • Sample
      • Cluster
      • Principal Components
      • Association Rules
      • Forecast
      • Python
    • Delivery
      • Content
      • Form Card
      • Export CSV
    • Map Editor
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On this page
  • Key Characteristics
  • Use Cases
  • Creating a New Data Project
  • Step-by-Step Instructions
  1. FUNDAMENTALS

Data Projects

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Last updated 15 days ago

A Data Project in Gaio DataOS is an isolated and structured environment where all your data-related activities take place — from ingestion to advanced analytics.

Key Characteristics

  • Modular Workspace: Each project serves as a dedicated workspace where you can:

    • Connect to various data sources

    • Build data preparation flows

    • Design and share dashboards

    • Set up automations

    • Train and deploy machine learning models

  • Isolated Data Bucket: Every Data Project generates its own data bucket, ensuring that datasets, assets, and transformations are completely separated from other projects.

  • Access Control: Permissions are managed through user roles and group-based access rules, providing full control over who can view, edit, or manage each project component.

Use Cases

  • Creating custom analytics environments for different teams or clients

  • Separating test, staging, and production pipelines

  • Managing access to sensitive data with role-based control

  • Deploying machine learning workflows in a self-contained, governed context

Creating a New Data Project

The New Project screen allows you to configure a dedicated environment to organize your data, analysis, and visualizations within Gaio DataOS.

Step-by-Step Instructions

  1. Click on + Create new project located in the upper right corner of the project dashboard.

  2. The New Project window will appear with the following fields:

    • Name (required): Enter the name of your project. This will be the display title in your project list.

    • Description (optional): Provide a brief summary of the project's purpose or contents.

    • Repository: Select the data repository where your assets will be stored. Default is set to Default.

    • Creator: This field is automatically populated with your user or team name (e.g., Gaio Documentation).

    • Color: Choose a highlight color to visually identify the project (e.g., Orange).

    • Icon: Pick an icon that represents the project context (e.g., 📅 calendar icon).

    • AI (optional): Select the AI engine (e.g., OpenAI) to power intelligent features inside the project. Optionally, enable the checkbox Disable AI in reports for final users on the dashboard to prevent AI suggestions in end-user dashboards.

  3. Click Save to create the project or Cancel to exit without saving.