A mission-critical data backbone built over more than ten years, facing a forced decommission date. Moving 5,000 ETL pipelines and 10,000 shell scripts to cloud without changing a single business interface.
Of the migration automated
Faster migration timeline
Data accuracy maintained
The warehouse had been a mission-critical backbone for over a decade: roughly 5,000 ETL pipelines, 10,000 shell scripts, and more than 6,000 database objects. The underlying Solaris platform was being retired, which forced a full re-platform onto the operator's Google Cloud data ecosystem against a fixed date. Tolerance for disruption was zero. Business semantics and interfaces had to stay unchanged throughout, so the migration had to be invisible to everyone using the data.
Synapt Data Transformation, deployed to retire a decade of legacy logic without altering how the business consumes it.
Schema and pipeline logic captured and replicated automatically
Legacy code translated into cloud-native form without hand-rewriting
Parallel-run monitoring ahead of final cutover, timed to the decommission deadline
GDPR-compliant EU-based delivery, aligned to the operator's data classification requirements
Automated extraction
Schema and pipeline logic captured and replicated without manual mapping
Automated code conversion
Legacy code translated to cloud-native form across pipelines and scripts
Staged cutover
Parallel-run monitoring ahead of final cutover, on a fixed decommission date
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