メタデータ基盤を整える：dbt docs / DataHub / Atlan の選定と運用

version: 2
models:  - name: orders    description: "確定済みの注文（キャンセル・返金後の最終状態）"    config:      meta:        owner: "team:commerce@hukuhuku.co.jp"        sla_hours: 6        published: true              # Bot に公開するか        contains_pii: false        update_frequency: "hourly"    columns:      - name: order_id        description: "注文の一意識別子。UUID形式 (例: 'a1b2c3...')"        tests:          - unique          - not_null      - name: amount_jpy        description: "注文金額（JPY、税込）。返金分は減算済み。負の値は禁止"        tests:          - not_null      - name: customer_id        description: "顧客ID（customers テーブルへの FK）。匿名顧客は 0"      - name: created_at        description: "注文時刻 (UTC)"        meta:          unit: "datetime"

# .github/workflows/dbt-meta-check.ymlname: dbt metadata coverageon: [pull_request]
jobs:  meta-coverage:    runs-on: ubuntu-latest    steps:      - uses: actions/checkout@v4      - run: pip install dbt-bigquery      - run: dbt parse      - name: Check column descriptions        run: |          python -c "          import json          m = json.load(open('target/manifest.json'))          missing = []          for n, node in m['nodes'].items():              if node['resource_type'] != 'model': continue              if not node.get('meta', {}).get('published'): continue              for c, cfg in node['columns'].items():                  if not cfg.get('description'):                      missing.append(f\"{node['name']}.{c}\")          if missing:              print('Missing descriptions:', missing)              exit(1)          "