HPCC is the big data analysis tool from LexisNexis. They have proprietary add-ons as well. They've got a meetup and have spoken at local users' groups. I don't see any upcoming meetups, but keep an eye on them.
This was the note from Trish, their program manager:
Hello, I am the Program Manager for the HPCC Systems open source project at LexisNexis. HPCC Systems (www.hpccsystems.com) from LexisNexis Risk Solutions offers a proven, data-intensive supercomputing platform designed for the enterprise to process and solve Big Data analytical problems. As an alternative to legacy technology, HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. And it is open source! ... I'm happy to provide whitepapers, articles or any other information needed.
Upcoming HPCC Meetups
Guest Speaker: Ft Lauderdale Machine Learning Meetup Group
Big Data Processing & Analytics - HPCC Systems (LexisNexis)
We are excited to have a guest speaker at the Ft Lauderdale Machine Learning Meetup group!
IMPORTANT - please RSVP here:
HPCC (High Performance Computing Cluster) Systems from LexisNexis is an open source massive parallel-processing computing platform that solves Big Data problems. Included in the platform is an extensible set of fully parallel Machine Learning and Matrix processing algorithms to assist with business intelligence; covering supervised and unsupervised learning, document and text analysis, statistics and probabilities, and general inductive inference related problems. ECL, the high level declarative data oriented programming language used with the HPCC Systems platform along with the associated Machine Learning toolkit, offer effortless linear scalability across entire clusters. A set of fully parallel linear algebra operations, written in ECL, provides extensibility, allowing for the quick implementation of new high level algorithms.
The speaker, Dr Flavio Villanustre, will present an overview of the existing capabilities and algorithms of the HPCC Systems platform and ECL language and share our latest developments in distributed machine learning and how to leverage the most appropriate algorithms to quickly extract knowledge from big data to help make critical decisions.
Open discussion to follow. Attendees will have a chance to win a Kindle Fire! Pizza and refreshments will be served.
15 minutes - Welcome & Mingling
60 minutes - Presentation
15 minutes - Q&A / Open Discussion
About the Speaker
Dr. Flavio Villanustre leads HPCC Systems, and is also VP, Technology for LexisNexis Risk Solutions. In this position, he is responsible for Information and Physical Security, overall platform strategy and new product development. Dr. Villanustre is also involved in a number of projects involving Big Data integration, analytics, machine learning and business intelligence. Prior to 2001, Flavio served in a variety of roles at different companies including Infrastructure, Information Security and Information Technology. In addition to this, Dr. Villanustre has been involved with the open source community for over 15 years through multiple initiatives. Some of these include founding the first Linux User Group in Buenos Aires (BALUG) in 1994, releasing several pieces of software under different open source licenses, and evangelizing open source to different audiences through conferences, training and education. Prior to his technology career, Dr. Villanustre was a neurosurgeon.
Ft Lauderdale, FL - USA
Wednesday, September 21 at 7:00 PM