Overview
The Overview tab provides a high-level view of a Data Product, including its metadata, reliability, FAIR++ score, output ports, and AI readiness.
It gives users a quick understanding of the Data Product's current state without requiring them to inspect the underlying data or project implementation.
Data Product Information
The Data Product Information section displays the key metadata associated with the Data Product, including:
- Name – The name of the Data Product.
- Description – A description of the data provided by the Data Product.
- Schema Version – The schema version associated with the Data Product.
- Quality – Indicates that quality-related information is available.
- Governance – Indicates that governance-related information is available.
This section provides the basic context needed to understand the Data Product.
Reliability
The Reliability section provides an overview of the Data Product's execution reliability over different time periods.
Users can view reliability metrics for:
- Last 30 days
- Last 90 days
- Last 365 days
The page also provides a day-by-day view of recent execution status, showing whether executions were successful, failed, or skipped.
This allows users to quickly assess the operational reliability of the Data Product.
FAIR++ Scoring
The Overview page provides a summary of the Data Product's FAIR++ score.
The score provides an overall indication of how well the Data Product meets FAIR++ data product principles.
The summary includes:
- Overall score
- Overall status
- Top-performing FAIR++ areas
For a detailed breakdown of the score and recommended improvements, see FAIR++ Scoring
Output Ports
The Output Ports section displays the outputs exposed by the Data Product.
Output ports can represent the tables or other data assets made available by the Data Product for downstream consumption.
AI-Ready Score
The AI-Ready Score section provides information about the Data Product's readiness for AI-related use cases when AI readiness analysis is available.
