DataWeaveINTERMEDIATE
Pricing Bulk Import with Deduplication
A retail pricing team submits bulk CSV files via a REST endpoint. The raw feed is noisy: it can contain duplicate SKU rows from the client's export tool, blank product names, and zero-price entries that must be rejected. You will transform the CSV client model into the JSON envelope the MuleSoft process layer expects — deduplicating entries by SKU, filtering out unapproved items, and reporting how many rows were skipped in the response envelope.
#deduplication#bulk-import#csv#rest-api
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The fastest way
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01.
Production payloads
Real CSV/JSON/XML you'll meet on day one — null fields, mixed casing, partial records.
02.
Design problems
What practitioners actually solve — null-safety, idempotency, retries, batch boundaries.
03.
Edge cases that break
Empty arrays, type coercion, deeply nested transforms, locale-specific dates.
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CHALLENGES
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MODULES
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01.
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02.
Test cases run on real runner
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03.
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04.
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Bring in reusable %dw modules. Import, export, compose.
05.
XP & leaderboard
Points + XP awarded per challenge. Trail progress synced.
06.
Production-style payloads
Real CSV/JSON/XML — null fields, mixed casing, partial records.