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This page provides an overview of 1 article related to 'big data'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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In information technology, big data consists of datasets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger datasets allowing analysts to "spot business trends, prevent diseases, combat crime." Though a moving target, current limits are on the order of terabytes, exabytes and zettabytes of data. Scientists regularly encounter this problem in meteorology, genomics, connectomics, complex physics simulations, biological and environmental research, Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, wireless sensor networks and so on." Every day, 2.5 quintillion bytes of data are created and 90% of the data in the world today was created within the past two years. (Excerpt from Wikipedia article: Big data)

Key statistics

Metadata related to 'big data' (as derived from all content tagged with this term):

  • Number of articles referring to 'big data': 14 (0.8% of published articles)
  • Total references to 'big data' across all Ariadne articles: 97
  • Average number of references to 'big data' per Ariadne article: 6.93
  • Earliest Ariadne article referring to 'big data': 2009-07
  • Trending factor of 'big data': 0 (see FAQs on monitoring of trends)

See our 'big data' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'big data' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'big data':

  1. marieke guy (see articles on this topic by this author)
  2. manolis mavrikis (see articles on this topic by this author)
  3. patricia charlton (see articles on this topic by this author)
  4. demetra katsifli (see articles on this topic by this author)
  5. dorothea salo (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Datesort icon

The Potential of Learning Analytics and Big Data

Patricia Charlton, Manolis Mavrikis and Demetra Katsifli discuss how the emerging trend of learning analytics and big data can support and empower learning and teaching.

July 2013, issue71, feature article

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by Dr. Radut