ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Why Is Cloudera Packing Mahout With Hadoop?

Machine learning is an entire field devoted to Information Retrieval, Statistics, Linear Algebra, Analysis of Algorithms, and many other subjects. This field allows us to examine things such as recommendation engines involving new friends, love interests, and new products. We can do incredibly advanced analysis around genetic sequencing and examination, distributed search and frequency pattern matching, as well mathematical analysis with vectors, matrices, and singular value decomposition (SVD).

All these fields have deep connections in the big data space.

Original title and link: Why Is Cloudera Packing Mahout With Hadoop? (NoSQL database©myNoSQL)

via: http://www.cloudera.com/blog/2011/11/cdh3u2-apache-mahout-integration/