Conduit Docs
  • Getting Started
    • Importing Data
    • Connecting Multiple Accounts
    • How To Invite Additional Team Members to Your Account
    • How Does the Trial Work?
    • What's a Table/Data Schema?
    • Number of Sub-Connections
    • Default Time Range for Downloading Data
    • Conduit Data Lake
    • Conduit vs Boost.Space
    • Conduit vs Reportz.io
    • Conduit vs Google Looker Studio
  • Use Cases
    • Use Case: AI-powered Text Extraction
    • Use Case: Track Ad Campaign Performance with Conduit
    • Use Case: Enhancing Project Management with Copilot
    • Use Case: Using Conduit for Financial Analysis
    • Use Case: Use ChatGPT with your data
    • Use Case: Build financial models from raw transactional data and generate P&L statements.
    • Use Case: Marketing data analytics
    • Use Case: Using data science frameworks using your data in spreadsheets Low-Code
    • Use Case: Custom Dimensions for Ad Operations
    • Use Case: Custom dimensions for E-Commerce
    • Use Case: Extract invoices from PDF
    • Use Case: Export data from SaaS applications to your spreadsheet
    • Use Case: Online store and a physical retail locations consolidated
    • Use Case: Pull data from Advertisement platforms to a spreadsheet
    • Use Case: Consolidation of data received as separate files, for example, separate Excel reports
    • Use Case: Names, IDs, SKUs normalization
    • Use Case: Integrating Conduit with a custom CRM using SSO/OAuth2
    • Use Case: Chat Bot for Your Data
    • Use Case: Display Net sales On a Dashboard by Subtracting Ad spend from Total Sales
    • Use Case: Conduit for Healthcare Applications
  • Security & Data Privacy
    • Data Retention Policy
    • How Conduit Complies with GDPR?
    • Security
  • Spreadsheets
    • Writing data to spreadsheets: Overwrite and Update
    • Using Formulas in Spreadsheets
    • The Time Range in formulas
    • The table in the spreadsheet does not start from the first line
  • Conduit for Digital Agencies
    • How to Use White Label
    • What is a Workspace and a Sub-account
    • Use Case: Creating a Dashboard for Two Clients
    • Users in Your Team vs. Sub-Accounts in Workspaces
    • Deleting a Workspace
    • How to Log Into a Workspace
    • How to Buy Additional Workspaces
    • Schedulers in Workspaces
  • Troubleshooting
    • Error codes and how to troubleshoot data-related issues
    • Google Drive Refusing To Connect
    • Why Are my Shopify stats different?
    • Facebook Integration: How to Fix the GraphMethodException Error
  • Copilot
    • Copilot Roles: Data Analyst vs AI Generalist
    • Conduit Copilot vs. ChatGPT – What's The Difference?
    • How to Tune the Copilot
    • Data Sources for Copilot
  • For Developers
    • IP Addresses of Conduit Servers
    • Create an AI Сopilot for your app
    • Manage your AI Copilot users
    • Upload CSV files to Conduit via API (Guide)
  • Integrations
    • Instagram Integration
    • Dashboard Widgets Based On a SQL Connection
    • GA4 Integration Notes
    • Salesloft Integration
    • Self-service and Manual integrations
    • Installing Google Sheets Add-On
    • Slack Integration
    • YouTube Integration
    • HubSpot Integration
    • Conduit integration for Bigcommerce
    • Xero Integration
    • Recharge integration
    • Wrike Integration
    • Zoho Integration
    • Monday.com Integration
    • ActiveCampaign Integration
    • ClickUp Integration
    • FreshSales Integration
    • Google Ads Quality Score
    • Facebook Ads Reach
    • Shopify Net Sales and Returns
    • Gorgias tickets with Spam/Deleted/Auto-Close statuses
    • Looker Studio Connector
  • Workflows
    • Workflows – Adding New Columns
    • Workflows – using the Join by Key block
    • Workflows – using the Union block
    • Workflows – using the Transpose block
    • Workflows – creating a weekly Ad Spend report
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  1. Getting Started

What's a Table/Data Schema?

PreviousHow Does the Trial Work?NextNumber of Sub-Connections

Last updated 11 months ago

A Table/Schema refers to a structured format designed to hold specific types of data, such as leads, contacts, or advertisements. Many integrations include several data tables/schemas to organize different sets of data.

In our terminology, a data table/schema is a predefined set of data types or data attributes that we import from a business application.

To explain what a table/schema is, let’s consider an example with the Amazon integration. This integration includes multiple data tables/schemas for various types of data, such as:

  • Product Ads

  • Seller Ads

  • Selling Partner Orders

Each of these tables/schemas is designed to retain and structure specific types of data relevant to Amazon’s business operations.

By using tables/schemas, we ensure that the data is organized in a way that makes it easy to manage, analyze, and utilize for business insights.