Glossary
Introduction
This glossary provides clear, concise definitions for all key terms and concepts used throughout the Codd AI platform.
Core Concepts
- Codd AI
- An advanced analytics platform that leverages Generative AI to automatically create a comprehensive semantic layer over your data assets while incorporating your business-specific rules, logic, and domain expertise. This intelligent layer bridges the gap between raw data and actionable insights, automatically translating natural language business questions into complex data operations.
- Brain
- Your workspace in Codd AI where you organize and manage multiple corpuses for different domains or business areas.
- Corpus
- An enriched knowledge agent that combines business and technical knowledge to automatically generate data models and metrics for a specific domain.
- Corpus Board
- The dashboard view for a specific corpus showing its status, metrics, knowledge components, and available actions.
Knowledge Terms
- Knowledge Creation
- The process of defining and organizing both business and technical knowledge within the platform to enable accurate data interpretation.
- Business Knowledge
- Domain-specific understanding including business metrics, terminology, rules, and compliance requirements that define how data should be interpreted.
- Technical Knowledge
- Technical specifications including data models, transformations, quality rules, and integration requirements that define how data is processed.
- Knowledge Cells
- Atomic units of knowledge that define specific concepts, metrics, or rules within the platform's knowledge base.
- Backstage
- The configuration and management area accessed via the gear icon where you manage integrations, settings, and platform configurations.
Integration Terms
- PostgreSQL Integration
- Connection to PostgreSQL databases enabling complex queries and real-time data access with full SQL capabilities.
- Snowflake Integration
- Integration with Snowflake's cloud data platform for scalable data warehousing and analytics capabilities.
- BigQuery Integration
- Connection to Google BigQuery for serverless, highly scalable data analytics and processing.
- Azure SQL Integration
- Integration with Azure SQL Database for cloud-based SQL Server solutions and managed database services.
- Databricks Integration
- Connection to Databricks for unified analytics and machine learning capabilities across data sources.
- Dremio Integration
- Integration with Dremio for high-performance data lake analytics and query acceleration.
- Trino Integration
- Connection to Trino for distributed SQL query engine capabilities across multiple data sources.
- BI Tool Integration
- Connection to business intelligence tools like Tableau and Power BI via PostgreSQL JDBC for advanced data visualization and analytics.
- REST API Integration
- API connection to integrate business knowledge systems like data catalogs or document management systems into the Codd AI platform.
Data Terms
- Metrics
- The core analytical building blocks in Codd AI that transform your raw data into actionable business insights. They represent pre-defined calculations, KPIs, and measures that are automatically generated from your corpus's business knowledge and data model.
- Data Model
- A structured representation of data relationships, including entities, attributes, and their connections within the system.
- Data Caching
- A performance optimization system that stores metric query results with scheduled refresh capabilities to improve response times and reduce database load.
- Cache Refresh Scheduler
- A tool that allows you to configure automatic refresh intervals (daily, weekly, monthly) for cached metric data to balance performance with data freshness.
- Entity Relationship Diagram (ERD)
- A visual representation of how different data entities are related to each other in the system's data model.
- Semantic Layer
- An intelligent abstraction layer that sits between raw data and business users, automatically translating business concepts into data operations while maintaining consistency and governance.
- Corpus Workflow
- The systematic process of creating, training, and deploying a corpus including knowledge integration, metric generation, and validation steps.
AI & Machine Learning Terms
- Generative AI (GenAI)
- AI technology that generates new content, including text, code, and data models, based on learned patterns and context.
- Agent
- An automated assistant that performs specific tasks, provides guidance, and helps users navigate the platform.
Business Terms
- Organization
- A group of users and resources managed together within the platform with shared settings and permissions.
- Workspace
- A dedicated environment for teams to collaborate on data analysis, knowledge creation, and project management.
- Canvas
- The conversational AI interface where you interact with your data using natural language queries and receive context-aware answers with visualizations.
- Settings
- Configuration options for managing users, organizations, billing, API keys, and platform features.
- YAML Specification
- The structured format used to define metrics in Codd AI, including their calculations, dimensions, measures, and data requirements.
- API Keys
- Authentication tokens used to securely access Codd AI's APIs for programmatic integration and automation.
- Natural Language Query
- The ability to ask questions about your data in plain English (or other languages) without needing to write SQL or understand database structures.
- Corpus Sharing
- The capability to share configured corpuses with team members or across organizations to enable collaborative analytics.