%0 Book Section %1 FrommBloehdorn14p107 %A Fromm, Hansjörg %A Bloehdorn, Stephan %B Enterprise-Integration %C Berlin %D 2014 %E Schuh, Günther %E Stich, Volker %I Springer Vieweg %K 01624 springer paper ai database enterprise data pattern recognition analysis processing optimize information retrieval zzz.big %P 107--124 %R 10.1007/978-3-642-41891-4_9 %T Big Data---Technologies and Potential %X Recently, the term Big Data has gained tremendous popularity in business and academic discussions and is now prominently used in scientific publications, business literature, whitepapers and analyst reports, as well as in popular magazines. While all these references somewhat associate the term with a new paradigm for data processing and analytics, the perception of what exactly it refers to are very diverse. The gap in the understanding of the phenomenon of Big Data is highlighted by the results of a recent study -- in which respondents were asked to choose descriptions of the term Big Data -- resulting in diverse characterizations such as, e.g., 'A greater scope of information', 'New kinds of data and analysis' or 'Real-time information'. %& 9

@incollection{FrommBloehdorn14p107, abstract = {Recently, the term Big Data has gained tremendous popularity in business and academic discussions and is now prominently used in scientific publications, business literature, whitepapers and analyst reports, as well as in popular magazines. While all these references somewhat associate the term with a new paradigm for data processing and analytics, the perception of what exactly it refers to are very diverse. The gap in the understanding of the phenomenon of Big Data is highlighted by the results of a recent study -- in which respondents were asked to choose descriptions of the term Big Data -- resulting in diverse characterizations such as, e.g., 'A greater scope of information', 'New kinds of data and analysis' or 'Real-time information'.}, added-at = {2015-11-21T12:43:58.000+0100}, address = {Berlin}, author = {Fromm, Hansj\"{o}rg and Bloehdorn, Stephan}, biburl = {https://www.bibsonomy.org/bibtex/29f5f7a809160ea31102091e4a6714361/flint63}, booktitle = {Enterprise-Integration}, chapter = 9, crossref = {SchuhStich2014}, doi = {10.1007/978-3-642-41891-4_9}, editor = {Schuh, G\"{u}nther and Stich, Volker}, file = {SpringerLink:2014/FrommBloehdorn14p107.pdf:PDF}, groups = {public}, interhash = {d17bb17a070e3cda62d9efd3a82ca794}, intrahash = {9f5f7a809160ea31102091e4a6714361}, keywords = {01624 springer paper ai database enterprise data pattern recognition analysis processing optimize information retrieval zzz.big}, pages = {107--124}, publisher = {Springer Vieweg}, series = {VDI-Buch}, timestamp = {2017-07-13T17:40:02.000+0200}, title = {Big Data---Technologies and Potential}, username = {flint63}, year = 2014 }