Day 17 of 45 · Pro lesson

Pipeline Architecture: The Capstone Architecture Challenge

The curriculum for this day stays visible. The lesson, code, and workspace unlock with Pro.

Teaches: multi-source integration, read-replica CDC, API exponential backoff & DLQ, Kafka stream dedup, dual-speed SLAs, pipeline idempotency

Build: Enterprise multi-source platform: PostgreSQL + flaky REST API (with DLQ) + Kafka clickstream → S3 Parquet lake + SCD2 warehouse.

•Complete 15 drills on CDC vs watermarks, jittered backoff, stream deduplication, and atomic staging swaps.
•Execute end-to-end multi-source pipeline architecture in Pyodide WASM.
•Simulate 5 production failures: connection exhaustion, API 429 stampedes, small files, and streaming race conditions.
•Defend 10 senior architecture interview scenarios and pass the blank-page challenge.

Phase 3 Capstone: design first, hit architectural failure modes, correct the design, and defend trade-offs.

This section walks through the idea with a short example, then the trade-offs you should mention in an interview.

In practice you start from the raw rows, apply the transform step by step, and check the shape of the result before you move on.

A common mistake is to jump straight to the final query without naming the grain or the join keys that keep the result correct.

Once the core path works, you harden it for nulls, duplicates, and late data so the pipeline stays reliable under load.

The Pro write-up covers the full explanation, worked examples, and the code you can run in the studio.

# Locked example
result = transform(frame)
print(result.head())

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