slug: microsoft-azure-databricks
provider: Azure Databricks
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: 1
edges:
- tag: Clusters
  spec_file: microsoft-azure-databricks-clusters-api-openapi.yml
  capability_id: BC-600.50
  capability_id_l1: BC-600
  capability_name: IT Infrastructure Management
  confidence: 0.7
  evidence: '"Create a New Cluster", "Start a Terminated Cluster", "Terminate a Cluster", schema "AutoScale"'
  reason: Lifecycle and sizing of Spark compute clusters (create, start, restart, terminate, autoscale,
    node types) is cloud compute infrastructure management.