Guides stay short on purpose. Deployment, Docker, and pilot grids live on shared pages — not here.
Why teams move now
- Mainframe-adjacent cost. Parallel engine + IBM stack licensing keeps rising.
- Talent concentration. Transformer logic lives in a few heads.
- Cloud Pak pressure. Many teams want out of the IBM ETL runtime.
Hardest construct — sanitized peek
Enough to judge fit. Not a rebuild-the-parser cookbook.
Before // Transformer (sanitized) out.AMT = lnk.QTY * sv_rate After (BigQuery) SELECT qty * rate AS amt FROM src
SQL vs Python
BigQuery SQL when SQL is enough. When you need Python, we emit PySpark on Dataproc that writes to BigQuery.
What good looks like
Parser-driven conversion, readable BigQuery output, and row-level parity before cutover. Upload a sample or run a pilot — no email gate to peek.