Free Resource - Enterprise Data Architecture Playbook
A framework for building enterprise-scale data platforms. Decision frameworks, technology selection matrices, and proven patterns from luxury brands and financial institutions.
Enterprise Data Architecture Framework
A playbook distilled from 10+ years building data platforms for luxury brands and financial institutions. Learn the frameworks, patterns, and decision criteria used at enterprise scale.
What's Inside
- Architecture Decision Framework
- How to choose between data lakes, warehouses, and hybrid approaches. Decision trees based on scale, latency, and cost requirements.
- Technology Selection Matrix
- Kafka vs Kinesis, BigQuery vs Snowflake, DBT vs Airflow. When to use each technology and why.
- Scaling Playbooks
- Proven patterns for scaling from millions to billions of events. Horizontal scaling, sharding strategies, and cost optimization.
- Production Readiness Checklist
- Complete checklist covering monitoring, alerting, disaster recovery, security, and compliance requirements.
- Real-World Case Studies
- Anonymized examples from luxury retail and financial services showing architecture evolution and lessons learned.
- Cost Optimization Strategies
- Techniques that reduced infrastructure costs by 30-40% while maintaining performance and reliability.
Who This Is For
- ✓CTOs and VPs of Engineering building or scaling data infrastructure
- ✓Data architects designing enterprise-scale systems
- ✓Technical leaders evaluating cloud migration or platform modernization
- ✓Growth companies that need enterprise capabilities without enterprise timelines