Google BigQuery
by Google LLC
Connect agents to BigQuery to run SQL analytics, load data, and manage datasets and tables.
Sådan bruger agenter Google BigQuery
- ✓Query large datasets to generate business intelligence reports
- ✓Stream events and activity logs from agent workflows into BigQuery
- ✓Run complex aggregations to identify trends, cohorts, or anomalies
- ✓Join data across multiple tables to build enriched datasets
- ✓Answer natural language questions by translating them to SQL queries
Agenthandlinger
Input: query, useLegacySql, maxResults, queryParameters
Returnerer: rows, rowCount, schema, jobId, bytesProcessed
Input: datasetId, tableId, rows, skipInvalidRows
Returnerer: insertedCount, errors, success
Input: filter
Returnerer: datasets, count
Input: datasetId
Returnerer: tables, count
Input: datasetId, tableId
Returnerer: schema, numRows, numBytes, createdAt
Eksempel på workflows
Executive dashboard
Agent queries BigQuery for weekly business metrics and generates summary reports
Event tracking pipeline
Agent streams product events into BigQuery for real-time analytics
Om Google BigQuery
- Leverandør
- Google LLC
- Pris Tjek altid detaljer med udbyderen
- Betalt — On-demand queries: $5/TB after 1TB free/month. Storage: $0.02/GB/month active. Flat rate available.
- Godkendelse
- API-nøgle
- Hastighedsgrænse Tjek altid detaljer med udbyderen
- 300 anmodninger / minut
- Kompatible noder
- AgentResourceInputOutput
- Hjemmeside
- https://cloud.google.com/bigquery
Byg et AI-workflow med Google BigQuery
Brug Agentic Planner til at designe, visualisere og forbinde Google BigQuery med dine andre værktøjer.
Åbn Agentic Planner