Dr. Flavio Villanustre will speak on how the HPCC Systems platform and its declarative language, ECL, are leveraged for tackling Big Data and explain how ECL is to Big Data as SQL is to RDBMS, along with demos of our latest integration work with Pentaho Business Intelligence Suite, R & Hadoop. Flavio will also present a technical deep dive into the HPCC Systems architecture and its major components including Thor (data refinery engine) and Roxie (data delivery engine) and how it compares and integrates with other big data technologies like Hadoop. Flavio will also touch on the total cost of ownership (TCO) of big data analytics solutions and offer tips and recommendations for managing costs.

Dr Flavio Villanustre, VP Infrastructure & Products at HPCC Systems and LexisNexis

Flavio is the Vice President of Infrastructure and Products. In this position, Flavio is responsible for Information and Physical Security, overall infrastructure strategy and new product development. Previously, Flavio was Director of Infrastructure for Seisint. Prior to 2001, Flavio served in a variety of roles at different companies including Infrastructure, Information Security and Information Technology. In addition to this, Villanustre has been involved with the Opensource 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 Opensource licenses, and evangelizing Opensource to different audiences through conferences, training and education. Prior to his technology career, Flavio was a neurosurgeon.

Dr. Flavio Villanustre

VP Infrastructure & Products at HPCC Systems and LexisNexis

About HPCC Systems

HPCC Systems™ from LexisNexis® Risk Solutions is an open source and proven, data-intensive supercomputing platform designed for the enterprise to process and solve Big Data analytical problems. As a superior 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.