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This document provides an overview and summary of Apache Hivemall, which is a scalable machine learning library built as a collection of Hive UDFs (user-defined functions). Some key points: - Hivemall allows users to perform machine learning tasks like classification, regression, recommendation and anomaly detection using SQL queries in Hive, SparkSQL or Pig Latin. - It provides a number of popular machine learning algorithms like logistic regression, decision trees, factorization machines. - Hivemall is multi-platform, so models built in one system can be used in another. This allows ML tasks to be parallelized across clusters. - It has been adopted by several companies for applications like click-through prediction, user - Download as a PDF or view online for free