Massively Parallel Processing
As president of TVMG Consulting, Inc., Timothy Valihora leverages over two decades of experience to assist companies with a variety of information technology matters, including technical architecture, data warehousing, and software development. Over the course of his career, Timothy Valihora has gained extensive experience working with data management solutions, such as massively parallel processing (MPP) systems. Often used in business intelligence and analytical processing applications, MPP systems distribute data across multiple servers or nodes that each have the ability to autonomously process and store the data locally. This type of partitioned computing architecture provides high-performance processing and is particularly useful in managing large volumes of data in applications like data warehouses. The high cost and complexity associated with MPP systems has limited their use to large companies with significant financial resources. Wall Street has employed MPP to analyze market data for a number of years, and it was recently used at the physics laboratory CERN to help scientists detect evidence of the Higgs Boson particle. Other notable groups that currently utilize MPP systems include the US Defense Advanced Research Projects Agency (DARPA) and the National Security Agency (NSA).
