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
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1. Introduction to Data Ingestion
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Suggested Topics
- What is data ingestion: pulling raw data from external sources
- Why ingestion is hard: unreliable sources, schema changes, authentication, rate limits
- Common sources: REST APIs, databases, file storage (S3, GCS), streaming (Kafka, webhooks)
- Ingestion patterns: on-demand, scheduled, streaming, event-driven
- Challenges: network failures, data format inconsistencies, authentication, compliance
- The ingestion → validation → storage flow
- Idempotency: designing ingestion to handle retries safely
- Real-world case studies: handling API failures, schema migrations
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