Mu Sigma launches New Tools to solve Big Data Challenges

Mu Sigma has launched a new addition to its series of analytical products. The new series includes muHPC (for High Performance Computing) designed for enterprise-class Big Data analysis in Hadoop environments.

Enterprises will be able to accelerate their R and Hadoop initiatives as well as Big Data analysis programs with the new offerings of Mu Sigma. The company believed that muHPC packages outperformed in terms of execution time on large data sets. In fact, muHPC algorithms proved to be two-four times faster while achieving the same results. MuHPC has been built using the technology from Cloudera and Revolution analytics. muHPC algorithms have been written using components from Revolution Analytics’ open-source RHadoop project.

Zubin Dowlaty, Head of Innovation and Development, Mu Sigma, said, We talk with so many large enterprises that want to leverage open-source tools such as R and Hadoop but simply cannot find staff with the requisite skills. muHPC directly addresses that market need by providing a packaged set of the most common R-based algorithms that can be used in a Hadoop environment right out of the box. muHPC is a breakthrough concept that removes significant barriers to Big Data analysis.

muHPC consists of three packages including muGLM, muEDA and muKMeans. muGLM offers easy-to-use R functions for building a wide variety of generalized linear models on Big Data. For performing investigative analysis on Big Data, muEDA offers easy-to-use R functions. On the other hand, muKMeans offers R functions for data clustering on Big Data