Normal view MARC view

Entry Topical Term

Number of records used in: 2

001 - CONTROL NUMBER

  • control field: 5534

003 - CONTROL NUMBER IDENTIFIER

  • control field: EG-CaNGU

005 - DATE AND TIME OF LATEST TRANSACTION

  • control field: 20230829101151.0

008 - FIXED-LENGTH DATA ELEMENTS

  • fixed length control field: 120813in azznnbabn a ana d

040 ## - CATALOGING SOURCE

  • Original cataloging agency: NNU
  • Language of cataloging: eng
  • Transcribing agency: DLC
  • Modifying agency: DLC
  • Modifying agency: EG-CaNGU
  • Description conventions: rda
  • Subject heading/thesaurus conventions: NGU-sh

150 ## - HEADING--TOPICAL TERM

  • Topical term or geographic name entry element: Big data

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Data sets, Large

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Large data sets

550 ## - SEE ALSO FROM TRACING--TOPICAL TERM

  • Control subfield: g
  • Topical term or geographic name entry element: Data sets

670 ## - SOURCE DATA FOUND

  • Source citation: Work cat.: Big data (Print), ISSN pre-publication record, March 2013.

670 ## - SOURCE DATA FOUND

  • Source citation: Understanding big data, c2012.

670 ## - SOURCE DATA FOUND

  • Source citation: New York times, May 21, 2012:
  • Information found: article: Troves of Personal Data, Forbidden to Researchers (It is "big data," the vast sets of information gathered by researchers at companies like Facebook, Google and Microsoft from patterns of cellphone calls, text messages and Internet clicks by millions of users around the world.)

670 ## - SOURCE DATA FOUND

  • Source citation: Wikipedia, May 30, 2012:
  • Information found: Big data entry ("Big data" is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data in a single data set. Big data is difficult to work with using relational databases, desktop statistics and visualization packages, requiring instead parallel software running on huge numbers of separate servers; [entry cites 35 bibliographical references])

680 ## - PUBLIC GENERAL NOTE

  • Explanatory text: Here are entered works on vast data sets that cannot easily be captured, managed, or processed with commonly used software.