Euno User Manual
Euno User Manual
  • 👋Welcome to Euno
  • 🧭Guides
    • 🔑Account Management
    • 📄Creating a New Project
    • 🖥️Using the Data Model Screen
    • ⚙️Configuring Account Settings
      • Linked Accounts
        • GitHub
        • GitLab
      • Operations Log
    • 🗄️Creating and Managing Sources
    • 🏷️Custom Properties
      • Optimizing Complex Searches
    • 👟Euno Query Language (EQL)
      • Example of Full EQL Statements
    • Usage
  • 🗃️Sources
    • dbt Core
      • dbt Integration Discovered Resources
    • dbt Cloud
      • dbt Integration Discovered Resources
    • Looker
      • Using a custom Looker role
      • Looker Integration Discovered Resources
      • Troubleshooting Looker integration
    • Tableau
      • Tableau Integration Discovered Resources
      • Tableau Impression Data Setup
      • Tableau Usage Data Q&A
    • Snowflake
      • Snowflake Integration Discovered Resources
    • Fivetran
      • Fivetran Integration Discovered Resources
    • Bigquery
      • Bigquery Integration Discovered Resources
    • Thoughtspot
      • Thoughtspot Integration Discovered Resources
  • 🤖Assistant
  • 💻Automations
    • 📈Data Model Sync
      • Customizing Generated LookML Files
      • Dialect Conversion Charts
      • Data Model Sync Workflows
    • ⬅️Shift-left Proposals
    • 🖱️Pre-Aggregate Models
  • 👨‍🏫Reference
    • 🔗Universal Resource Identifier (URI)
    • 🤝Relationships
    • Basic Filters
    • Resource Sponsorship and Cleanup in Euno
  • ☎️Support
  • —
  • 🌐Euno Homepage
  • 🖥️Go to App
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Welcome to Euno

NextGuides

Last updated 3 months ago

Euno is an AI-first data model governance solution, helping you to get your data AI-ready, and maintain high level of governance, without slowing down data analysis.

Euno integrates with all your data platform - BI applications, data warehouses, ETL and ELT tools to provide you with a comprehensive map of your data, providing including all dependencies (lineage), relationships, and metadata.

Euno automation allows data teams to automate day-to-day tasks required to maintain consistency and governance across the different platforms of the data model.

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