Issue No.06 - Nov.-Dec. (2013 vol.30)
Panos Louridas , Athens University of Economics and Business
Christof Ebert , Vector Consulting Services
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2013.125
Embedded analytics and statistics for big data have emerged as an important topic across industries. As the volumes of data have increased, software engineers are called to support data analysis and applying some kind of statistics to them. This article provides an overview of tools and libraries for embedded data analytics and statistics, both stand-alone software packages and programming languages with statistical capabilities.
Big Data, Programming, Embedded systems, Data handling, Linux, Information management,statistics, software technology, embedded analytics, big data
Panos Louridas, Christof Ebert, "Embedded Analytics and Statistics for Big Data", IEEE Software, vol.30, no. 6, pp. 33-39, Nov.-Dec. 2013, doi:10.1109/MS.2013.125