Pipelines & Dataflows Gen2 — Silver Transformations & Metadata-Driven Pipelines

Building Silver Transformations with Dataflows Gen2

Best Practices

  • Standardize column names
  • Deduplicate
  • Type‑cast
  • Flatten JSON
  • Join reference tables
  • Validate data quality

Dataflows Gen2 make Silver accessible to business users — no Spark required.

Metadata‑Driven Pipelines — The Enterprise Pattern

Metadata‑driven pipelines use configuration tables to control ingestion — no hard‑coded logic, just parameters.

Benefits

  • No hard‑coded logic
  • Easy to add new sources
  • Easy to modify ingestion
  • Easy to scale
  • Easy to govern

Metadata Examples

  • Source system
  • Table name
  • Incremental column
  • Destination path
  • Partitioning rules

Metadata‑driven ingestion is the enterprise standard — it scales infinitely without touching pipeline code.

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