Bibliografia

Principal

• Bahga, A. & Madisetti, V. (2016). Big Data Science & Analytics: A Hands-On Approach. VPT. Li, K. C., Jiang, H., Yang, L. T., & Cuzzocrea, A. (2015). Big data: Algorithms, analytics, and applications. CRC Press. Leskovec, J., Rajaraman, A. & Ullman, J.D. (2020). Mining of Massive Datasets. 3rd Edition, Cambridge University Press. Melcher, K. & Silipo, R. (2020) Codeless Deep Learning with KNIME. Packt Publishing.:

Secundária

• Berthold, M.R., Borgelt, C., Höppner, F., Klawonn, F. & Silipo, R. (2020). Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data. 2nd Edition, Springer International Publishing. Marz, N. & Warren, J. (2015). Big Data: Principles and best practices of scalable realtime data systems. Manning Publications. Ryza, S., Laserson, U., Owen, S., & Wills, J. (2015). Advanced Analytics with Spark: Patterns for Learning from Data at Scale. O'Reilly Media.: