The Python-versus-R-in-Spark discussion also carries over to the production side of the equation. In the olden days of Spark (i.e. 18 months ago), ... You don’t have to re-write the code from scratch ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

But Spark has also had its share of impedance mismatch issues, such as making R and Python programs first-class citizens, or adapting to more compute-intensive processing of AI models.