How Vanguard transformed analytics with Amazon Redshift multi-warehouse architecture
Big Data Blog
This article details how Vanguard transformed its Financial Advisor Services analytics using Amazon Redshift multi-warehouse architecture.
- Vanguard migrated from fragmented data sources to centralized FAS 360 data warehouse using Amazon Redshift
- Experienced exponential growth: 20 TB to 170 TB data, 20 to 600+ ETL jobs, 60 to 500+ analysts
- Single 2-node cluster faced severe performance bottlenecks, ETL failures, and resource contention
- Implemented multi-warehouse architecture: producer cluster for ETL, three serverless consumer workgroups for analytics
- Achieved 100% ETL SLA adherence, 500,000+ monthly queries, 25x BI dashboard growth
- Removed 10-minute query timeout, enabling 30+ minute exploratory queries in isolated environment
- Zero-copy data sharing eliminated duplication and synchronization costs
- Now evolving toward data mesh architecture with domain-oriented ownership and decentralized governance
Vanguard's journey demonstrates that scaling analytics requires workload isolation and independent scaling, not just bigger single warehouses.
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