Bibliografia

•Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman. Mining of Massive Datasets, 2nd Edition. Cambridge University Press, 2014 •Bill Chambers, Matei Zaharia. Spark: The Definitive Guide: Big data processing made simple. O’Reilly Media, 2017 •Matthew O. Ward, Georges Grinstein, Daniel Keim. Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd Edition. CRC Press, 2015 :

•Jacques Bertin. Semiology of Graphics: Diagrams, Networks, Maps. Esri Press, 1983 (Reprinted in 2010) •Edward Tufte, The Visual Display of Quantitative Information, 2nd Edition. Graphics Press, 2001 •Alexandru C. Telea. Data Visualization: Principles and Practice. AK Peters/CRC Press, 2008 •Chaomei Chen. Information Visualization: Beyond the Horizon, 2nd Edition. Springer, 2010 •Robert Spence. Information Visualization: An Introduction, 3rd Edition. Springer, 2014 •Colin Ware. Information Visualization: Perception for Design, 3rd Edition. Morgan Kaufmann, 2012 •Tamara Munzner. Visualization Analysis & Design: Abstractions, Principles, and Methods. CRC Press, 2014 •Scott Murray. Interactive Data Visualization for the Web: An Introduction to Designing with D3, 2nd Edition. O’Reilly Media, 2017 •Small collection of research papers, software and online materials e.g. tutorials and pedagogical videos. That is the case of material related to systems and toolkits mentioned in the course e.g. D3, Hadoop, Spark and Apache Zeppelin. •Adriano Lopes. Slides of Big Data Visualization, available in the e-learning platform as the topics are delivered in the lectures. :