Apache Sparkにおけるメモリ - アプリケーションを落とさないメモリ設計手法 -- Apache Spark is an open-source cluster computing framework for large-scale data processing. It was originally developed at the University of California, Berkeley in 2009 and is used for distributed tasks like data mining, streaming and machine learning. - Spark utilizes in-memory computing to optimize performance. It keeps data in memory across tasks to allow for faster analytics compared to dis
Apache Sparkに手を出してヤケドしないための基本 ～「Apache Spark入門より」～ （デブサミ 2016 講演資料）
