Error Handling for Data Engineers: Staff-Level Systems Design

Design systems that know exactly how much failure is acceptable.

Design systems that know exactly how much failure is acceptable.

Category

Python

Difficulty

advanced

Duration

42 minutes

Challenges

0 hands-on challenges

Topics covered: Error Budgets and SLOs: Making Failure Quantitative, Circuit Breaker: Protecting Against Cascading Failures, DLQ as a Full Data Product, At-Least-Once vs. Exactly-Once: The Practical Truth, Distributed Failure Modes: Partial Commit and the Saga Pattern

Lesson Sections

1. Error Budgets and SLOs: Making Failure Quantitative

2. Circuit Breaker: Protecting Against Cascading Failures

3. DLQ as a Full Data Product

4. At-Least-Once vs. Exactly-Once: The Practical Truth

5. Distributed Failure Modes: Partial Commit and the Saga Pattern