In the dlt+dbt post the contract was a Unity Catalog schema. With Zerobus Ingest I moved the same question to the producer edge: when the sink is already a governed Delta table, do you really need a bus in the middle?
Python-native ingestion with dlt (dlthub), SQL transformation with dbt, and a single Unity Catalog schema as the contract between them. Notes from wiring them together on a real Databricks workspace — including the naming collision that bit me in actual code.
Three lakehouse stacks for adding AI/ML and streaming on top of an existing warehouse, compared through a FinOps lens: DBUs, DPUs, TB-scanned, S3 GB-month, and egress, walked through real workload patterns with 2026 prices.
Polars completes the Rust data engineering ecosystem: lazy evaluation, Apache Arrow, and native Iceberg V3 integration for performant analytics that compete with distributed clusters. The third pillar of the RisingWave + Lakekeeper + Polars stack.
The partnership between RisingWave and Iceberg-Rust represents a window into where modern data engineering is heading: real-time CDC streaming, intelligent hybrid delete strategy, and a performant Rust ecosystem challenging JVM dominance.