Introduction to Data Ingestion
Ingesting from APIs
Reading Multiple File Formats
Pydantic for Data Validation
Writing to Databases
Error Handling and Logging
Practice
Assignment
Gotchas & Pitfalls
Back to Track
2. Production Error Handling
Content coming soon...
Suggested Topics
- Error handling patterns for data ingestion (try/except for API, file, DB operations)
- Distinguishing transient vs permanent errors (retry vs fail)
- Retry strategies: exponential backoff, max attempts, circuit breakers
- Collecting validation errors: don't fail fast, accumulate all failures
- Writing error reports: failed records to error tables or CSV files
- Transactional rollback: undoing partial writes when a batch fails
- Graceful degradation: continuing processing despite some errors
- Using Week 1 logging patterns to log these errors
- Error tracking in production: recording which records failed and why
- Example: API call fails → log error → retry with backoff → eventually fail gracefully
Back to sidebar

*https://hackyourfuture.net/*
Found a mistake or have a suggestion? Let us know in the feedback form.