The Challenge
A leading retail company was operating a legacy on-premise data warehouse that had grown over 10 years to hold petabytes of sales, inventory, and customer data. They faced significant challenges:
- Prohibitively expensive hardware refresh cycles every 3-4 years
- Complex ETL processes taking 12+ hours to complete daily
- Limited ability to perform real-time analytics
- Siloed data preventing cross-functional insights
- Specialized skills required for proprietary query languages
Our Approach
CloudBrainy executed a phased migration strategy that ensured business continuity while modernizing the entire data platform:
- Comprehensive data profiling and quality assessment
- Schema redesign optimized for BigQuery's columnar architecture
- BigQuery Transfer Service implementation for bulk migration
- Real-time streaming pipelines with Dataflow
- Modern BI layer with Looker integration
- Parallel run period for validation and reconciliation
Key Deliverables
BigQuery Data Platform
Fully managed analytics platform with 5+ PB of data
Real-time Pipelines
Streaming ingestion with sub-second latency
Looker Dashboards
50+ self-service analytics dashboards
ETL Modernization
Dataform-based transformation pipelines
Results & Impact
70%
Cost Reduction vs On-Premise
100x
Faster Query Performance
Real-time
Analytics Capability
500+
Self-service Users Enabled