pipeline-design-doc

Document data pipeline architectures by capturing source, transformations, destinations, SLAs, and data governance artifacts. This creates a single source of truth for batch and streaming data movement, processing, and reliability.

Data contracts are enforced agreements within pipeline design docs that define data structure, quality, and ownership. They apply to data flow governance by standardizing transformation logic, failure modes, and backfill procedures for reliable processing.

Create a pipeline design doc that explicitly captures failure modes, recovery strategies, and backfill procedures. Documenting these elements ensures teams can operate pipelines confidently and restore data flows without digging through code.

Yes, this pipeline documentation approach applies to ETL and ELT pipelines across both batch and streaming workloads. It captures end-to-end data flows from ingestion to serving layers, ensuring comprehensive architecture reviews.

The best way to onboard new engineers is providing pipeline design docs with templates and guidance. These docs capture overviews, data contracts, data flows, and failure recovery, enabling quick understanding of transformation logic.

You need a formal data pipeline design doc when managing complex ETL/ELT workloads requiring clear data contracts, SLAs, and governance artifacts. It provides a single source of truth for architecture reviews, preventing reliance on digging through code.