Most Apache Spark pipelines do not fail loudly. They slow down quietly because of poor partitioning, unnecessary shuffles, bad joins, excessive caching, and ignoring execution plans. Small inefficiencies become massive costs when data starts scaling.
Subscribe to learn more!