DARCHIE Practice Studio

Train data engineering judgment.

Practice SQL, Python, modeling, and pipeline decisions in one interview-grade studio.

Studio board

Interview workspace

select buyer_id, count(*) orders
from orders
where status = 'paid'
group by buyer_id
having count(*) > 3

Run

Review

Practice lanes

Four focused ways to train.

Rows, joins, windows

Dicts, lists, validation

Entities, keys, grain

DAGs, retries, quality

df = clean(events)
orders = join(df, users)
assert orders.ok.all()

42 ms3 colsok

Run

Shape

Evaluate