In this technical deep-dive from Snowplow's Senior Manager, Product Marketing, John Bourous, he breaks down the architectural approach that gives you building blocks instead of black boxes.
🔧 The Two-Layer Architecture:
Layer 1: Data Foundation
- Developer tooling for behavioral data collection
- Cross-platform tracking (web, mobile, in-app, connected TV)
- Schema validation and context enrichment
- Real-time delivery to your chosen data platform
Layer 2: Customer Intelligence Layer
- Transform raw data into proprietary signals
- Real-time customer features and profiles
- Power personalization and AI-based workflows
- Custom customer experience optimization
⚡ Technical Advantages:
✅ High volume, low latency data processing
✅ Scalable, secure, and fully governed infrastructure
✅ Deploy in your own AWS VPC for maximum security
✅ Complete data and model ownership
✅ Composable building blocks vs rigid packages
🎯 Why Composable Beats Packaged SaaS:
Unlike traditional CDPs or analytics suites, Snowplow provides building blocks that integrate seamlessly into your existing AWS infrastructure. You control:
- Your data models and schemas
- Your workflows and processing logic
- Your security and compliance requirements
- Your future architectural decisions
💡 Perfect for:
- Data engineers building scalable architectures
- Engineering teams wanting infrastructure control
- Organizations with strict security requirements
- Companies avoiding vendor lock-in
- Teams building on AWS ecosystem
🚀 Key Benefits:
- Collect behavioral data across your entire digital estate
- Build proprietary customer intelligence signals
- Maintain full control over your data and models
- Scale securely within your own AWS environment
- Adapt and evolve without platform constraints
🔗 Watch the full session: https://snowplow.io/events/ai-ready-behavioral-data-powering-real-time-product-experiences-analytics
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