HP Haven Predictive Analytics with distributed R and HP Vertica
HP Haven Predictive Analytics with distributed R and HP Vertica : HP Haven Predictive Analytics, accelerates and operationalizes large scale machine learning and statistical analysis, and ultimately provides organizations with much deeper insights and understanding in the rapidly evolving data volumes. HP Haven Predictive Analytics delivers an enterprise ready Massively Parallel Processing platform for descriptive and predictive analytics enabling to perform massive analyses in R on Big Data, leveraging multiple nodes and multiple cores for vastly improved performance by using familiar programming environments such as R console and RStudio to build custom parallel algorithms or use the available parallel algorithms.
HP Haven Predictive Analytics is powered by HP Vertica and Distributed R. Distributed R is a high performance analytical engine based on the open source R language developed with HP Labs to address the most demanding, Big Data predictive analytics tasks. Distributed R improves performance and enables users to analyze much larger data sets than was previously possible with the popular R statistical programing language.
Haven Predictive Analytics provides data acceleration and native SQL support with HP Vertica. The cluster-based, column-oriented Vertica Analytics Platform is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses and other query-intensive applications. The native integration with the market leading columnar MPP database increases overall data access performance by up to 5X and enables a broader community of developers and DBAs to put predictive analytics into action. It also provides a comprehensive set of proven, parallel algorithms that produce accurate and consistent results with mature standard R algorithms. Haven Predictive Analytics is free and fully compatible with the open source R language and tools and backed by enterprise support from HP and priced per node.
The open source R language is used by millions of data scientists around the globe to interpret, interact with, and visualize data, and has been a powerful tool in tackling predictive modeling tasks such as drug discovery and financial modeling. The Distributed R, a revolutionary extension of R, which boosts performance by splitting tasks between multiple processing nodes. The result of this strategic initiative is the industry's first open source version of a distributed platform for R that is explicitly designed to address today's demanding Big Data predictive analytic tasks.
HP Haven Predictive Analytics also retains the flexibility and consistency with R and enables data scientists to use their familiar R console and RStudio to work with Distributed R.