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© 2026 — Integration TrailsContent — CC BY-NC-SA | Code — MIT LicenseVER:2026-08-11-72a9b56
Challenges/map-employee-onboarding-data-for-rest-api·DataWeave·BEGINNER
DataWeaveBEGINNER

Map Employee Onboarding Data for REST API

Transforming raw CSV exports from HR systems into structured JSON is a common integration pattern, as legacy exports rarely match modern API schemas. In this challenge, you will process a semicolon-separated CSV from Crestline Financial's Workday system and map it to a REST API onboarding payload. You will learn to declare custom CSV separators in the input directive, use `map` to transform rows into structured JSON objects, and import `dw::core::Strings` to normalize inconsistent text.

#dw::core::strings#csv#workday
BY @patryk_bandurski
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%dw 2.0
output application/json
---
payload
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The fastest way
to learn integration.

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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// WHAT YOU'LL BUILDHOW IT WORKS ↓
01.
Live DataWeave editor
Real DWL 2.0 IDE with helpers, modules, syntax highlighting.
02.
Test cases run on real runner
Same Go runner used in prod. Diffs show exactly which fields fail.
03.
3 graded attempts
Submit when you're ready. Score persists. Solution unlocks after pass or last attempt.
04.
Helpers & multi-module DWL
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.