Normalized claim
Quantified impact: 30% decrease
Decommissioned 30% of obsolete and unused data
TELUS modernized its legacy on-prem data stack on Google Cloud to create a unified Enterprise Datahub for analytics and gen AI use cases. The company restructured more than 200 enterprise pipelines and migrated over 14 petabytes of data to BigQuery, using Cloud Composer and Dataflow for orchestration and transformation. TELUS partnered with Google Cloud and Onix to support code conversion, validation, and knowledge transfer for the multi-year modernization.
Reported outcomes
Impact: 200 pipelines
Other quantified impact
Normalized claim
Quantified impact: 30% decrease
Decommissioned 30% of obsolete and unused data
Normalized claim
Quantified impact: 200 pipelines increase
restructured all 200+ enterprise-grade pipelines
Normalized claim
Quantified impact: 14 PB increase
migrating 14 petabytes of data
Normalized claim
Quantified impact: 3,000 mappings increase
3,000 ETL mappings
Normalized claim
Quantified impact: 1,700 tables increase
1,700 tables
No explicit deployment-stage evidence found.
Primary read
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TELUS built an Enterprise Datahub on BigQuery with Cloud Composer for orchestration, Dataflow for ingestion/transformation, Cloud SQL as supporting infrastructure, and Vertex AI for gen AI use cases. Onix provided automated code conversion and data validation during the multi-year migration from on-prem Hadoop and Exadata systems.
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