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flowchart LR

tdb[Transactional<br/>DB] -->
dl[Data<br/>Lake] -->
rdl

aggdl -->
Dashboards

subgraph dwh["Analytical Data WareHouse"]
rdl[RDL - Raw<br/>Data Layer] -->
odl[ODL - Operational<br/>Data Layer] -->
adl[ADL - Analytical<br/>Data Layer] -->
aggdl[AggDL - Aggregated<br/>Data Layer]
end

Incremental Aggregate Tables¶

Prefer tables whenever possible, then views if too much effort

--- Run once
CREATE OR REPLACE TABLE my_dataset.agg_table_before_2026 
PARTITION BY (order_month)
AS (
SELECT
    DATE_TRUNC(order_date, MONTH) AS order_month,
    SUM(gmv_amount_lc) AS gmv_amount_lc,
FROM my_dataset.fct_table
-- complex query with joins
WHERE order_date <= '2026-01-01'
);


--- Run once
CREATE OR REPLACE MATERIALIZED VIEW my_dataset.agg_table_after_2026
PARTITION BY (order_month)
AS (
SELECT
    DATE_TRUNC(order_date, MONTH) AS order_month,
    SUM(gmv_amount_lc) AS gmv_amount_lc,
FROM my_dataset.fct_table
-- complex query with joins
WHERE order_date >= '2026-01-01'
);


--- Run once
CREATE OR REPLACE VIEW agg_view AS (
SELECT order_month, gmv_amount_lc FROM my_dataset.agg_table_before_2026
WHERE order_month < '2026-01-01' -- optimizer hint to avoid unnecessary scans at query time
UNION ALL
SELECT order_month, gmv_amount_lc FROM my_dataset.agg_table_after_2026
WHERE order_month >= '2026-01-01' -- optimizer hint to avoid unnecessary scans at query time
);

Map Tables¶

SELECT
    a.col,
    b.col_to

FROM base a
LEFT JOIN map b
  -- one of the below, according to complexity
  ON a.col =                  b.col_from
  ON LOWER(a.col) LIKE '%' || b.col_from || '%'

2026-02-16

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