slug: amazon-glue-databrew
provider: Amazon Glue DataBrew
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: Profile Jobs
  spec_file: amazon-glue-databrew-profile-jobs-api-openapi.yml
  capability_id: BC-610.30
  capability_id_l1: BC-610
  capability_name: Data Quality Management
  confidence: 0.8
  evidence: '"CreateProfileJob"; schemas "StatisticsConfiguration", "ColumnStatisticsConfiguration", "ValidationMode"'
  reason: Profile jobs compute column statistics and validate data, which is exactly data quality monitoring/profiling.
- tag: Rulesets
  spec_file: amazon-glue-databrew-rulesets-api-openapi.yml
  capability_id: BC-610.30
  capability_id_l1: BC-610
  capability_name: Data Quality Management
  confidence: 0.8
  evidence: '"CreateRuleset", "DescribeRuleset"; schemas "Rule", "ThresholdType", "ThresholdUnit", "ColumnSelector"'
  reason: Rulesets define column-level validation rules with thresholds — data quality rule definition
    and monitoring.
- tag: Datasets
  spec_file: amazon-glue-databrew-datasets-api-openapi.yml
  capability_id: BC-610
  capability_id_l1: BC-610
  capability_name: Information & Data Management
  confidence: 0.7
  evidence: '"CreateDataset", "DescribeDataset"; "Glue DataBrew is a visual, cloud-scale data-preparation
    service"'
  reason: Registering and describing datasets for a data-preparation service is an information/data management
    activity. Evidence does not single out a specific L2 (governance vs quality vs architecture), so only
    the L1 is asserted.