TELUS moved 14PB into BigQuery

TELUS said it moved more than 14 petabytes of data into Google BigQuery after a three-year overhaul of its legacy data systems. (cloud.google.com) The Canadian telecom company said the project upgraded more than 200 enterprise data pipelines, 3,000 extract-transform-load mappings, and 1,700 tables. TELUS said the work also pulled data from more than 100 internal sources into one central hub. (cloud.google.com, telus.com) BigQuery is Google Cloud’s managed analytics warehouse, which means companies store data there and run large queries without managing the underlying servers themselves. Google says the service is built to query terabytes in seconds and petabytes in minutes. (docs.cloud.google.com, docs.cloud.google.com) TELUS said the migration replaced siloed on-premises systems that had duplicated data and no single source of truth for analytics or artificial intelligence work. Stephen Lee, head of enterprise data engineering at TELUS, said at Google Cloud Next 2025 that the company “didn’t have a solid data foundation” to run analytics or artificial intelligence at scale before the rebuild. (telus.com, techcouver.com) The company said employees can now use the new platform for self-service analytics and generative artificial intelligence use cases across the business. Google’s customer case study says the platform gives TELUS access to 14-plus petabytes of structured enterprise data for analytics and generative artificial intelligence at scale. (cloud.google.com) TELUS said it decommissioned 30% of obsolete or unused data during the modernization, a step it linked to operating-expense savings. The company said the project was completed with Google Cloud and partner Onix, while later conference remarks also referenced support from Accenture. (cloud.google.com, decoder.ca) TELUS has used BigQuery before in other businesses, including TELUS Insights, a product Google highlighted in 2022 for analyzing aggregated mobility data with privacy protections. The newer migration is larger and broader, covering core enterprise data rather than a single analytics product. (cloud.google.com, cloud.google.com) The company is framing the overhaul as the data layer for faster internal decisions and more artificial intelligence tools. After three years of moving pipelines, tables, and historical records, TELUS is now presenting BigQuery as the place where that work lands. (telus.com, cloud.google.com)