Tudor
8f02b5125e
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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>
23 lines
640 B
SQL
23 lines
640 B
SQL
-- Mart: Deprivation index — one row per URN
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-- Joins school postcode → LSOA → IDACI score
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with school_postcodes as (
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select
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urn,
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postcode
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from {{ ref('stg_gias_establishments') }}
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where status = 'Open'
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and postcode is not null
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)
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-- Note: The join between postcode and LSOA requires a postcode-to-LSOA
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-- lookup table. This will be populated by the geocode script or a seed.
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-- For now, this model serves as a placeholder that will be completed
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-- once the IDACI tap provides the postcode→LSOA mapping.
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select
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i.lsoa_code,
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i.idaci_score,
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i.idaci_decile
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from {{ ref('stg_idaci') }} i
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