What challenges did TELUS face before AI implementation?

Modernize a legacy Hadoop and Exadata data stack Create a repeatable data ingestion and pipeline pattern Improve reliability and time to market for analytics and gen AI use cases

What was the impact of the AI solution?

Decommissioned 30% of obsolete and unused data Modernized 200+ pipelines, 3,000 ETL mappings, and 1,700 tables Migrated 14+ petabytes to Google Cloud Enabled improved analytics and gen AI use cases at enterprise scale

Source

GCP

TELUS enterprise gen AI data platform modernization with BigQuery and Vertex AI

Use case typeAI development platformUpdated Jun 13, 2026

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.

Organization: TELUS
Industry: Tech & Comms
Location: Canada
Published: June 2026

Reported outcomes

−30%

quantified impactOther quantified impact

200 pipelinesquantified impact14 PBquantified impact3,000 mappingsquantified impact1,700 tablesquantified impact

Strategic outcomes

New product / capabilityCreated a unified Enterprise DatahubNew product / capabilityEnabled enterprise-scale gen AI use casesScale & capacityModernized enterprise data pipelinesEcosystem & partnershipsPartnered for modernization support

Primary read

Use case focus

Showing 3 of 3

1Data platform modernization
2GenAI infrastructure
3ETL modernization

Modernize a legacy Hadoop and Exadata data stack
Create a repeatable data ingestion and pipeline pattern
Improve reliability and time to market for analytics and gen AI use cases

Built a cloud-based Enterprise Datahub in BigQuery
Used Dataflow for pipeline execution and transformation
Used Cloud Composer for orchestration
Applied Vertex AI to support gen AI use cases
Partnered with Onix for automated code conversion and data validation

Technologies

BigQuery Vertex AI Dataflow Cloud Composer Cloud SQL

Decommissioned 30% of obsolete and unused data
Modernized 200+ pipelines, 3,000 ETL mappings, and 1,700 tables
Migrated 14+ petabytes to Google Cloud
Enabled improved analytics and gen AI use cases at enterprise scale

Architecture

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.

Implementation partners1

Onix

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jun 3, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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Customer evidence