%0 Journal Article %1 Goth15cacm %A Goth, Gregory %D 2015 %J Communications of the ACM %K 01841 acm paper ai data science pattern recognition analysis information retrieval enterprise tool zzz.big %N 7 %P 17--19 %R 10.1145/2771299 %T Bringing Big Data to the Big Tent %V 58 %X Open source tools assist data science: Some experienced hands in the field of data analysis feel the differences between investigational data scientists, who work on the leading edge of concepts using statistical tools such as the R programming environment, and operational data scientists, who have traditionally used general-purpose programming languages like C++ and Java to scale analytics to real-time enterprise-level computational assets, need to become less relevant.

@article{Goth15cacm, abstract = {Open source tools assist data science: Some experienced hands in the field of data analysis feel the differences between investigational data scientists, who work on the leading edge of concepts using statistical tools such as the R programming environment, and operational data scientists, who have traditionally used general-purpose programming languages like C++ and Java to scale analytics to real-time enterprise-level computational assets, need to become less relevant.}, added-at = {2016-11-21T17:36:09.000+0100}, author = {Goth, Gregory}, biburl = {https://www.bibsonomy.org/bibtex/293eb434fa56cceed2e51cd14ccd66817/flint63}, doi = {10.1145/2771299}, file = {ACM Digital Library:2015/Goth15cacm.pdf:PDF}, groups = {public}, interhash = {fbcb89eb3628d83aa0b99a20db92826e}, intrahash = {93eb434fa56cceed2e51cd14ccd66817}, issn = {0001-0782}, journal = {Communications of the ACM}, keywords = {01841 acm paper ai data science pattern recognition analysis information retrieval enterprise tool zzz.big}, month = {#jul#}, number = 7, pages = {17--19}, timestamp = {2018-04-16T12:12:22.000+0200}, title = {Bringing Big Data to the Big Tent}, username = {flint63}, volume = 58, year = 2015 }