Proof of Concept: Modern Lakehouse Streaming
High-performance ingestion pipeline feeding Delta Lake, combining transactional guarantees with streaming scalability. Demonstrates how modern lakehouse architecture handles high-velocity data while ensuring reliability.
Key insight: traditional data lakes sacrifice reliability for performance, or vice versa. Delta Lake provides both. ACID transactions prevent data corruption, while high-performance ingestion handles volume efficiently.
Applicable to IoT sensors, financial market data, operational telemetry, or any use case where data corruption or downtime has immediate business cost.
Key Benefits
- ACID Guarantees: Transactions prevent data corruption that cascades into reporting failures
- Cost-Efficient Performance: High-throughput ingestion with minimal resource overhead
- Resilience: Error handling and automatic recovery despite API inconsistencies or network issues
- Audit-Ready: Time-travel capabilities and schema enforcement provide built-in compliance features
- Unified Analytics: Real-time and historical analysis from the same storage, reducing architectural complexity
Technical Approach
Delta Lake's transactional guarantees combined with high-performance async ingestion solves two critical problems: preventing data corruption incidents (weeks of remediation) and eliminating infrastructure over-provisioning for performance bottlenecks.
Deployment and maintenance are actually simpler than traditional streaming architectures. Reduced operational overhead and more predictable total cost of ownership as systems scale.
Core Technologies
- Language: Rust
- Data Format: Delta Lake
- Libraries: deltalake, tokio, reqwest, serde, rayon, chrono