MEASURE
A BigQuery Graph syntax element for defining calculations in graph queries, improving AI agent metric accuracy.
Imagine you're building an AI agent that needs to understand relationships in data, like how users interact with a website. Sometimes, the standard ways of measuring these interactions don't give the AI the right information. BigQuery Graph measures are a special tool that lets you define very specific calculations. These calculations help the AI agent get more accurate metrics, so it can make better decisions or provide better insights.
For example, instead of just counting how many times a user clicked a button, a measure could calculate the average time between clicks for users who completed a purchase. This gives the AI a much richer understanding of user behavior.
Measures in BigQuery Graph are a declarative syntax element used within graph queries to define custom aggregations and calculations. They allow users to specify complex metrics that go beyond simple node or edge counts. Measures are evaluated over subgraphs or paths, enabling precise analysis of relational data. This is crucial for AI agents that rely on accurate, context-aware metrics for tasks like recommendation, anomaly detection, or performance monitoring.
By defining measures, developers can ensure that AI agents are working with relevant and correctly computed data, mitigating issues where standard metrics might be misleading or insufficient for complex graph structures.
Google Gemini's BigQuery is introducing graph measures to improve AI agent metric accuracy. This development addresses issues where AI agents might get metrics wrong, offering a solution for more precise data analysis.
- BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)Google · Google Cloud Tech on YouTube ·
- Google Gemini
- Google Gemini uses 'measures' in BigQuery to define calculations for graph queries, aiming to fix AI agent metric errors and improve data analysis accuracy.
- Metric
- A general term for a quantifiable measure used to track and assess the s
- Aggregation
- A function that performs a calculation on a set of values and retur
The concept of defining specific calculations or metrics within a query language for graph data is an evolution of database query capabilities. BigQuery Graph's 'measures' are a specific implementation by Google to address the needs of complex data analysis, particularly for AI applications. Source ↗
To see measures in action, you can explore Google Cloud's documentation for BigQuery Graph queries. Look for examples that define custom calculations on graph data, such as calculating the 'reach' of a connection or the 'centrality' of a node. Experiment with modifying these calculations to observe how the results change, demonstrating the power of specific measures.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Troubleshooting fixFix double counting in AI agent metrics with BigQuery GraphUse BigQuery Graph MEASURE and AGG functions to correct metric inaccuracies caused by SQL joins. · 30 min
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- What problem do BigQuery Graph measures solve for AI agents?
- They solve the problem of inaccurate or insufficient metrics that AI agents might get from standard data analysis. Measures allow for custom, context-aware calculations that provide richer data for AI decision-making.
- Are measures only for AI agents?
- While the recent focus is on improving AI agent metrics, measures are a general feature for defining complex calculations in BigQuery Graph queries. They can be used for any advanced data analysis on graph data.
First seen on Subvolts Oct 6, 2026. Updated Oct 13, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.