Big Data/Analytics Zone is brought to you in partnership with:

Alec is a Content Curator at DZone and lives in Raleigh, North Carolina. He is interested in Java and Android programming, and databases of all types. When he's not writing for the NoSQL and IoT Zones, you might find him playing bass guitar, writing short stories where nothing happens, or making stuff in Java. Alec is a DZone Zone Leader and has posted 543 posts at DZone. You can read more from them at their website. View Full User Profile

MADlib: Big Data Machine Learning in SQL for Data Scientists

01.13.2014
| 4502 views |
  • submit to reddit

Data scientists and others working with Big Data may be interested in MADlib, an open-source framework for Big Data machine learning in SQL. As of November 25th, the framework is on version 1.4, and includes such features as support for Postgres, Pivotal Greenplum Database, and Pivotal HAWQ, a commercially usable BSD license, and more. According to the MADlib team, the key philosophies in MADlib's development are the following:

  • Operate on the data locally—in database. Do not move it between multiple runtime environments unnecessarily.

  • Utilize best of breed database engines, but separate the machine learning logic from database specific implementation details.

  • Leverage MPP Share nothing technology, such as the Pivotal Greenplum Database, to provide parallelism and scalability.

  • Open implementation maintaining active ties into ongoing academic research.

Check out MADlib's full site for more details. You can also find a list of features, as well as documentation, if you want to learn more.