Giant Tiger·2023
60% Faster Data Processing Through Teradata to BigQuery Migration
30%
lower storage costs
60%
faster data processing
3x
more efficient resource utilization
28%
reduction in data latency
12%
cost savings in data management
Adastra helped Giant Tiger migrate from Teradata to Google BigQuery, thus overcoming several existing limitations.
Challenge
Giant Tiger needed to move their large-scale Teradata warehouse environment, which included integration with a variety of 3rd party business applications, and sought an experienced partner to help perform the complex cloud migration.
Solution
Adastra partnered with Giant Tiger to replace their existing Teradata Enterprise Data Warehouse (EDW) with Google Cloud Platform’s BigQuery. We ensured zero downtime, robust security, and iterative testing throughout the migration process.
Results
3x more efficient resource utilization 60% faster data processing 30% lower storage costs 28% reduction in data latency 12% cost savings in data management Faster data access – The high-performance EDW model significantly reduces data latency Improved reliability – The new architecture eliminates issues in the store-to-EDW process Cost efficiency – Migrating to the cloud has resulted in cost savings through operational efficiency
We partnered with Adastra to modernize our long-standing Teradata EDW to GCP BigQuery, our joined forces made the migration journey efficient and valuable. Implementing BQ is a major path forward towards GT’s cloud journey. It is not only about cost savings but also about being more efficient with our resources. We are now able to make decisions quicker and experience faster backup and recovery cycles. Exceptional work!
Jason Murphy, Director of Business Intelligence COE, Giant Tiger
Project Details
Year
2023
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