Tiny files and endless snapshots quietly increase metadata, storage, and query overhead. A measured Iceberg maintenance routine can restore efficiency without reckless cleanup.
The Small-File Tax: How Data Lakehouse Maintenance Can Cut Waste and Speed Up Queries Read Post »
Factories do not need more raw tags; they need timely, contextualized events that operators, AI models, MES, and analytics can interpret consistently.
Catalog-first, direct-source, and hybrid access patterns can give AI agents governed access to distributed enterprise data without creating another central copy.
Federated Data Access for AI Agents: Query the Enterprise Without Copying Everything Read Post »
Checkpoint-aware pause and resume changes how teams recover expensive batch pipelines from transient failures, quota pressure, and external dependency outages.
Pause, Fix, Resume: A Better Recovery Model for Long-Running Data Pipelines Read Post »
A practical architecture for replacing duplicate batch and streaming pipelines with an Iceberg-backed data layer and incremental Flink processing.
One Data Pipeline, Two Speeds: Unifying Batch and Streaming with Iceberg and Flink Read Post »
