Title :
Embedded Analytics and Statistics for Big Data
Author :
Louridas, Panos ; Ebert, C.
Abstract :
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.
Keywords :
data analysis; embedded systems; high level languages; software packages; statistical analysis; big data; data volume; embedded data analytics tools; libraries; programming language; stand-alone software package; statistical capability; statistics; Big Data; Data handling; Embedded systems; Information management; Linux; Programming; big data; embedded analytics; software technology; statistics;
Journal_Title :
Software, IEEE
DOI :
10.1109/MS.2013.125
