• The Visualization Handbook. C. Hansen, C. Johnson. Academic Press, 2014.
  • Information Visualization (3rd Edition). C. Ware. Morgan Kaufmann, 2012.
  • Introduction to Information Visualization.Ricardo Mazza. Springer-Verlag, 2009.
  • Handbook of Data Visualization, C. Chen, W. K. Härdle, A. Unwin, Springer-Verlag, 2008.
  • The Visual Display of Quantitative Information(2nd Edition).  Tufte. Graphics, 2001.

Big Data and analytics

  • Chaudhuri, “What next?: a half-dozen data management research goals for big data and the cloud,” in Proc. of the 31st PODS Symposium on Principles of Database Systems (PODS ’12), 2012.
  • Apps and R. Scale, Big Data Sourcebook. 2014.
  • S. Vitter, “External memory algorithms and structures: dealing with Massive Data,” ACM Comput. Surv., vol. 33, no. 2, 2001.
  • Zikopoulos, D. DeRoos, K. Parasuraman, T. Deutsch, J. Giles, and D. Corrigan, Harness the Power of Big Data. McGraw-Hill, 2013.
  • Kelly, D. Vellante, and D. Floyer, “Big Data Market Size and Vendor Revenues,” Rep. Wikibon Proj., no. February, 2012.
  • D. Ullman, “Designing good MapReduce algorithms,” XRDS Crossroads, ACM Mag. Students, vol. 19, no. 1, Sep. 2012.


  • Cattell, “Scalable SQL and NoSQL data stores,” SIGMOD Rec., vol. 39, no. 4, May 2011.
  • J. Sadalage and M. Fowler, NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot. 2012.

Useful Resources