Introduction to Data

  • Francesco CoreaEmail author
Part of the Studies in Big Data book series (SBD, volume 50)


This chapter briefly provides an introduction to big data as well as deals with some of the most common misconceptions in the field.


  1. Baah, G. K., Gray, A., Harrold, M. J. (2006). Online anomaly detection of deployed software: A statistical machine learning approach. In Proceedings of the 3rd International Workshop on Software Quality Assurance, 70–77.Google Scholar
  2. Barton, D., & Court, D. (2012). Making advanced analytics work for you. Harvard Business Review, 90(10), 78–83.Google Scholar
  3. Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decision making affect firm performance?. Available at SSRN:
  4. Carter, P. (2011). Big data analytics: Future architectures, skills and roadmaps for the CIO. IDC White Paper, Retrieved from
  5. Chen, M., Mao, S., Zhang, Y., Leung, V.C. (2014). Big data: Related technologies, challenges and future prospects, SpringerBriefs in Computer Science, 59.Google Scholar
  6. Coase, R. H. (2012). Essays on economics and economists, University of Chicago Press.Google Scholar
  7. Corea, F. (2015). Why social media matters: the use of Twitter in portfolio strategies. International Journal of Computer Applications, 128(6), 25–30.CrossRefGoogle Scholar
  8. Corea, F. (2016). Big data analytics: A management perspective. Studies Series in Big Data, 21. Springer International Publishing.Google Scholar
  9. Corea, F., & Cervellati, E. M. (2015). The power of micro-blogging: How to use twitter for predicting the stock market. Eurasian Journal of Economics and Finance, 3(4), 1–6.CrossRefGoogle Scholar
  10. De Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1644, 97–104.CrossRefGoogle Scholar
  11. Doornik, J. A., & Hendry, D. F. (2015). Statistical model selection with big data. Cogent Economics & Finance, 3, 1045216.CrossRefGoogle Scholar
  12. Driscoll, M. E. (2010, Dec. 20). How much data is “Big Data”?, [Msg 2]. Message posted to
  13. Dumbill, E. (2013). Making sense of big data. Big Data, 1(1), 1–2.CrossRefGoogle Scholar
  14. Harford, T. (2014). Big data: Are we making a big mistake? Financial Times. Retrieved from
  15. Howe, A. D., Costanzo, M., Fey, P., Gojobori, T., Hannick, L., Hide, W. … Rhee, S. Y. (2008). Big data: The future of biocuration. Nature, 455(7209), 47–50.CrossRefGoogle Scholar
  16. IBM (2013). The four V’s of big data. Retrieved from
  17. Kim, G. H., Trimi, S., & Chung, J. H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78–85.CrossRefGoogle Scholar
  18. Laney, D. (2001). 3D data management: Controlling data volume, velocity, and variety. META group Inc. Accessed on Oct 27, 2015.
  19. Li, Y., Hu, X., Lin, H., & Yang, Z. (2011). A framework for semisupervised feature generation and its applications in biomedical literature mining. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 8(2), 294–307.CrossRefGoogle Scholar
  20. Lynch, C. (2008). Big data: How do your data grow? Nature, 455, 28–29.CrossRefGoogle Scholar
  21. Mach-Król, M., Olszak, C. M., Pełech-Pilichowski, T. (2015). Advances in ICT for business, industry and public sector. Studies in Computational Intelligence. Springer, 200 pages.Google Scholar
  22. Marchand, D., & Peppard, J. (2013). Why IT fumbles analytics. Harvard Business Review, 91(1/2), 104–113.Google Scholar
  23. Marr, B. (2015). Big data: Using SMART big data, analytics and metrics to make better decisions and improve performance. Wiley, 256 pages.Google Scholar
  24. Mayer-Schönberger, V., Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Eamon Dolan/Houghton Mifflin Harcourt.Google Scholar
  25. McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–66.Google Scholar
  26. Miller, K. (2012a). Leveraging social media for biomedical research: How social media sites are rapidly doing unique research on large cohorts. Biomedical Computation Review (available at Accessed October 27, 2015).
  27. Miller, K. (2012b). Big data analytics in biomedical research. Biomedical Computation Review (available at Accessed October 27, 2015).
  28. Moeng, M., Melhem, R. (2010). Applying statistical machine learning to multicore voltage and frequency scaling. In Proceedings of the 7th ACM international conference on Computing frontiers, 277–286.Google Scholar
  29. Morabito, V. (2015). Big data and analytics: Strategic and organizational impacts. Springer International Publishing, 183 pages.Google Scholar
  30. Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. JAMA, 309(13), 1351–1352.CrossRefGoogle Scholar
  31. Silver, N. (2013). The signal and the noise: The art and science of prediction. Penguin.Google Scholar
  32. Varian, H. (2013). Beyond big data. NABE annual meeting, San Francisco, CA, September 10th, 2013.Google Scholar
  33. Veldhoen, A., De Prins, S. (2014). Applying big data to risk management. Avantage Reply Report, 1–14.Google Scholar
  34. Wielki, J. (2013). Implementation of the Big Data concept in organizations—possibilities, impediments, and challenges. In Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 985– 989.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of ManagementCa’ Foscari UniversityVeniceItaly

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