The Online Books Page

Big data

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.

• Data sets

• Big data -- Moral and ethical aspects
• Big data -- Social aspects

• Data sets, Large
• Large data sets

• 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 (second edition, c2023), by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund (illustraterd HTML with commentary in New Zealand)
• Digital Objects, Digital Subjects: Interdisciplinary Perspectives on Capitalism, Labour and Politics in the Age of Big Data (London: University of Westminster Press, c2019), ed. by David Chandler and Christian Fuchs (multiple formats with commentary at University of Westminster Press)
• R for Data Science (first edition, c2017), by Hadley Wickham and Garrett Grolemund (illustrated HTML with commentary in New Zealand)
• Cloudera Impala (Sebastopol, CA et al: O'Reilly, c2014), by John Russell (page images at cloudera.com)

• The Big Data Agenda: Data Ethics and Critical Data Studies (London: University of Westminster Press, 2018), by Annika Richterich
  • multiple formats with commentary at University of Westminster Press
  • HTML at Project MUSE
• Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (Oakland: University of California Press, 2025), by Anita Say Chan (multiple formats with commentary at luminosoa.org)

• Data Feminism (Cambridge, MA: MIT Press, 2020), by Catherine D'Ignazio and Lauren F. Klein (illustrated HTML with commentary at MIT Press)
• Heritage and Nationalism: Understanding Populism Through Big Data (London: University College London Press, 2022), by Chiara Bonacchi (PDF with commentary at UCL Press)

• Terms of Service: Understanding Our Role in the World of Big Data (Al Jazeera America, c2014), by Michael Keller and Josh Neufeld (multiple formats at aljazeera.com)

• Big Data and Society (2014-) (partial serial archives)

Items below (if any) are from related and broader terms.