English edit

Alternative forms edit

Etymology edit

From mega- +‎ data.

Noun edit

megadata (uncountable)

  1. Extremely large collections of electronically-stored data.
    • 1995, David Hunter Collins, Designing Object-oriented User Interfaces, page 410:
      Experience with "megadata," large collections of remote objects presented to users, suggests that users typically view large collections of icons, but open only a few of them for detailed inspection.
    • 2000, Chris Marshall, Enterprise Modeling with UML, page 102:
      An entity may also be selected by traversing a tree of increasingly specific names, which solves the "megadata" problem of searching one large dataset instead of many small sets [Sims 1994].
    • 2014, Kenneth Ward, Robert N. Taylor, “Genetic Factors in the Etiology of Preeclampsia/Eclampsia”, in Robert N. Taylor, James M. Roberts, Gary F. Cunningham, editors, Chesley's Hypertensive Disorders in Pregnancy, page 57:
      Rendering and analysis of increasingly precise molecular platforms and bioinformatic tools to manage megadata have galvanized the field of preeclampsia genetics, which promises to revolutionize how we think about the complexity of the complexity of the etiologies, management strategies and prevention of this syndrome.
  2. (more specifically) Large collections of personal data that are gathered and maintained by companies for commercial exploitation.
    • 2013, M.G. Michael, Uberveillance and the Social Implications of Microchip Implants, page 160:
      The multiple agencies (state, non-state and hybrid) engaged in surveillance and the various processes, forms and purposes of surveillance that is brought together through information sharing networks or other means (from the sale of access to databases through to secret court orders demanding technology companies transfer megadata to state agencies) to create more intensive and comprehensive surveillance capacities.
    • 2013, Ton J. Cleophas, Aeilko H. Zwinderman, Machine Learning in Medicine: Part Two, page 4:
      Examples of megadata-systems are Facebook, eBay, Twitter etc. Such systems raise questions regarding privacy, legality, and ethics, but, at the same time, have already been able to readily provide clinicians with important medical (although uncensored) information, like Google has.
    • 2017, Dean Koontz, The Silent Corner, page 33:
      In nearly every case, each car and SUV and truck and bus was continuously signaling its position for the benefit of commercial collectors of megadata, police agencies—and whoever owned the future.