Guides stay short on purpose. Deployment, Docker, and pilot grids live on shared pages — not here.
Why teams move now
- Viya & license pressure. Renewals climb while cloud analytics wins budget.
- Talent cliff. Nobody under 40 knows SAS; Python/SQL is the hiring market.
- Macro libraries. %DO-generated SQL is where DIY rewrites stall.
Hardest construct — sanitized peek
Enough to judge fit. Not a rebuild-the-parser cookbook.
Before %macro dyn(tables); .. %mend; After (bigquery) CREATE OR REPLACE TABLE out_a AS SELECT * FROM a; -- statements generated per table list
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 on your estate — no email gate to peek.
Next step
Try a curated sample, then price your estate. Book a call only for guided / air-gapped needs.