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SAS · SAS System → Google BigQuery · Migration

Proven SAS to BigQuery Migration – Fixed Scope

Migrating SAS System to Google BigQuery is a well-understood project: we convert your SAS jobs and datasets into native BigQuery SQL or Spark pipelines.

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Talk to a senior engineer. No obligation.

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Powered by the 3PS Migration Engine

The lowest-cost way off SAS System: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your SAS System estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Google BigQuery, automated where it's safe
Parity validation
Side-by-side testing proves Google BigQuery matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
5–10 months
Typical Timeline
$120K–$750K
Typical Budget
40–70%
Legacy Cost Savings

How we support SAS System → Google BigQuery after migration

  • Fixed-scope migration projects with senior platform engineers
  • Legacy SAS support continues under your vendor contract
  • Convert SAS jobs to BigQuery SQL or Spark pipelines
  • 40–70% savings on legacy support while you plan
  • 24/7 US-based support for post-migration operations

Proprietary Format Traps

Proprietary SAS catalogs lock your data in formats that don’t play with cloud analytics engines.

Scheduling Uncertainty

Your existing SAS scheduling tools (e.g., batch scripts, cron) have no direct equivalent on Google Cloud.

Data Step Complexity

Complex data step MERGE operations are challenging to replicate in SQL without deep SAS and BigQuery expertise.

SAS System → Google BigQuery migration — your questions answered

What about proprietary SAS format catalogs?+

We extract your SAS catalogs, decompile proprietary formats, and rebuild them as native BigQuery objects and SQL views. Your data definitions are preserved.

Can we keep our existing SAS scheduling tools?+

We re‑platform your scheduled SAS jobs as Cloud Workflows, Dataform, or Apache Airflow DAGs on Google Cloud. No manual re‑coding of scheduling logic.

How do you handle complex SAS data step MERGE operations?+

SAS MERGE statements are converted to equivalent BigQuery SQL joins or Spark transformations. We handle multi‑step data step logic with senior engineers.

Is there any forced cutover or gap in support?+

We maintain your legacy System under vendor support for the full contract period. If your renewal lapses, our third‑party support covers most operational issues while you finish migrating.

Free SAS to BigQuery Architecture & TCO Assessment

After migration, we keep your BigQuery costs lean with query optimization, Looker reporting integration, and full Google Cloud platform management. Your team gets the analytics scale they need without the legacy overhead.

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