Here are entered works on vast data sets that cannot easily be captured, managed, or processed with commonly used software.
See also what's at Wikipedia, your library, or elsewhere.
Broader term:Narrower terms:Used for:
- Data sets, Large
- Large data sets
Filed under: Big data|
Filed under: Big data -- Moral and ethical aspects
- Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science #12072; Cham: Springer, c2020), ed. by Valentina Janev, Damien Graux, Hajira Jabeen, and Emanuel Sallinger (multiple formats at Springer Link)
- Data Journeys in the Sciences (Cham: Springer Open, c2020), ed. by Sabina Leonelli and Niccolò Tempini (multiple formats at Springer Link)
- Ethics and Data Science (c2019), by Michael Kosta Loukides, Hilary Mason, and DJ Patil (HTML at oreilly.com)
- The State of Open Data: Histories and Horizons (Cape Town: African Minds; Ottawa: IDRC, 2019), ed. by Tim Davies, Stephen B. Walker, Mor Rubinstein, and Fernando Perini (multiple formats with commentary at od4d.net)
- Big Digital Humanities: Imagining a Meeting Place for the Humanities and the Digital (Ann Arbor: University of Michigan Press, c2016), by Patrik Svensson (HTML and PDF files at Project MUSE)
- Bigger Than You: Big Data and Obesity (Goleta, CA: Punctum Books, c2016), by Katherine Behar (PDF with commentary at Punctum Books)
- R for Data Science (prepublication version, c2016), by Hadley Wickham and Garrett Grolemund (HTML with commentary in New Zealand)
- Cloudera Impala (Sebastopol, CA et al: O'Reilly, c2014), by John Russell (page images at cloudera.com)
Filed under: Big data -- Social aspects
Filed under: Big data -- Social aspects -- Comic books, strips, etc.
- The Big Data Agenda: Data Ethics and Critical Data Studies (London: University of Westminster Press, 2018), by Annika Richterich
Items below (if any) are from related and broader terms.