Apache™ Mahout is a library of scalable machine-learning algorithms, implemented on top of Apache Hadoop® and using the MapReduce paradigm. Machine learning is a discipline of artificial intelligence focused on enabling machines to learn WITHOUT being explicitly programmed, and it is commonly used to improve future performance based on previous outcomes.

Once big data is STORED on the Hadoop Distributed File System (HDFS), Mahout PROVIDES the data science tools to automatically find meaningful patterns in those big data sets. The Apache Mahout project aims to make it faster and easier to TURN big data into big information.

Apache™ Mahout is a library of scalable machine-learning algorithms, implemented on top of Apache Hadoop® and using the MapReduce paradigm. Machine learning is a discipline of artificial intelligence focused on enabling machines to learn without being explicitly programmed, and it is commonly used to improve future performance based on previous outcomes.

Once big data is stored on the Hadoop Distributed File System (HDFS), Mahout provides the data science tools to automatically find meaningful patterns in those big data sets. The Apache Mahout project aims to make it faster and easier to turn big data into big information.