Data pipelines are the backbone of any data-driven organization. In this article, I'll share essential patterns that I've found valuable across multiple data engineering projects.
Unlike the traditional ETL approach, modern data engineering often follows the ELT pattern:
This approach offers several advantages:
The medallion architecture (also known as multi-hop architecture) organizes data in layers:
This layered approach provides clear separation of concerns, improved data quality, and easier debugging.
Idempotency—the property where operations can be applied multiple times without changing the result—is crucial for reliable data pipelines. Here's how to implement it:
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