How Delta Kernel, Arrow, and pluggable execution are disaggregating the lakehouse stack. The lakehouse stack is not converging on a new dominant engine — it is converging on a layered architecture in which protocol, data representation, and query execution are increasingly isolated behind stable interfaces.
Many of the most surprising performance pathologies in modern data systems are semiotic failures — structural divergences between what an interface signifies and what the underlying system does.
Why calling Spark ’lazy’ is technically reductive, and how thinking of it as a dataflow compiler changes the way you design pipelines.
In large-scale Spark pipelines, skew can occur when a single key carries a disproportionately large nested payload. Asymmetric salting offers a targeted solution: explode, salt, join in parallel, and optionally re-aggregate.