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Replaces the hand-rolled integrator with a production-grade ELT pipeline using Meltano (Singer taps), dbt Core (medallion architecture), and Apache Airflow (orchestration). Adds Typesense for search and PostGIS for geospatial queries. - 6 custom Singer taps (GIAS, EES, Ofsted, Parent View, FBIT, IDACI) - dbt project: 12 staging, 5 intermediate, 12 mart models - 3 Airflow DAGs (daily/monthly/annual schedules) - Typesense sync + batch geocoding scripts - docker-compose: add Airflow, Typesense; upgrade to PostGIS - Portainer stack definition matching live deployment topology Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
12 lines
235 B
SQL
12 lines
235 B
SQL
-- Mart: School financial data — one row per URN per year
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select
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urn,
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year,
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per_pupil_spend,
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staff_cost_pct,
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teacher_cost_pct,
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support_staff_cost_pct,
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premises_cost_pct
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from {{ ref('stg_fbit_finance') }}
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