Error Handling for Data Engineers: Pipeline Patterns

Retry, route, and recover — without blowing up at 3 AM.

Retry, route, and recover — without blowing up at 3 AM.

Category

Python

Difficulty

intermediate

Duration

38 minutes

Challenges

0 hands-on challenges

Topics covered: The Classification That Drives Everything: Transient vs. Permanent, Partial Failure Handling: Bad Records in a Good Batch, Retry with tenacity: Production-Grade Backoff, The Poison Pill Problem, Idempotency: Why Every Retry Must Be Designed For It

Lesson Sections

1. The Classification That Drives Everything: Transient vs. Permanent

2. Partial Failure Handling: Bad Records in a Good Batch

3. Retry with tenacity: Production-Grade Backoff

4. The Poison Pill Problem

5. Idempotency: Why Every Retry Must Be Designed For It