In the fast-moving world of Data & AI, the magic often lies in combining the tools we use. When the right technologies come together, they donโt just add value, they multiply it.
Here are some combinations that show whatโs possible when the right tools come together:
- Photon x Z-Ordering = Faster Queries + Low Latency
Photon (C++-based vectorised engine) accelerates queries while Z-Ordering clusters data by frequent filters. Together, they reduce scanned data by 70-80%, slashing latency for dashboards or filter-heavy workloads.
- (Feature Store & MLflow) - Data Drift = Robust Model Management
Feature store ensures consistent features across the training and serving phases, eliminating mismatches that degrade model performance. MLflow tracks experiments, models, and deployments, providing full traceability. By monitoring and addressing data drift, this combination ensures reliable, scalable model management for production systems.
- Time Travel + VACUUM = GDPR Compliance
Delta Lakeโs Time Travel allows querying historical data versions for audits or recovery, while VACUUM removes outdated files after a configurable retention period. Together, they balance clean storage with compliance needs like GDPR, making it ideal for regulated industries requiring audit trails.
- Delta Lake x Auto Loader x Structured Streaming = Scalable Real-Time Ingestion
Delta Lake provides reliable storage with ACID guarantees, Auto Loader detects new files efficiently in cloud storage, and Structured Streaming processes them in near real-time. This powerful combination enables incremental ingestion at scale without reprocessing entire datasets, perfect for real-time pipelines.
Do you think I missed something or didnโt quite hit the mark? Jump in, Iโd love to hear your favourite combos, too! ๐ฌ๐
