slug: google-bigquery
provider: Google BigQuery
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 3
edges:
- tag: Datasets
  spec_file: google-bigquery-datasets-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.7
  evidence: '"serverless data warehouse that enables scalable analysis over petabytes of data using SQL";
    listDatasets, insertDataset, schemas Dataset, DatasetList'
  reason: Dataset CRUD in an analytics data warehouse supports analytics/BI delivery; could alternatively
    be data architecture management, hence not higher confidence.
- tag: Jobs
  spec_file: google-bigquery-jobs-api-openapi.yml
  capability_id: BC-610.50
  capability_id_l1: BC-610
  capability_name: Analytics & BI Management
  confidence: 0.7
  evidence: POST /projects/{projectId}/queries  queryJobs  Google BigQuery Execute query; GET .../queries/{jobId}
    getQueryResults
  reason: BigQuery jobs are query/load/export execution units of a data warehouse — analytics workload
    execution, closest to Analytics & BI Management under Information & Data Management. Could also be
    read as pure infrastructure, hence moderate confidence.
- tag: Models
  spec_file: google-bigquery-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: 'GET /projects/{projectId}/datasets/{datasetId}/models  listModels; schemas: Model, ModelList'
  reason: BigQuery ML models lifecycle (list/get/update/delete) maps to AI/ML model lifecycle management,
    a sub-capability of Information & Data Management.