Checking date: 16/06/2021

Course: 2021/2022

Data Processing
Study: Master in Internet of Things: Applied Technologies (356)

Coordinating teacher: MOLINA BULLA, HAROLD YESID

Department assigned to the subject: Department of Signal and Communications Theory

Type: Electives
ECTS Credits: 3.0 ECTS


Skills and learning outcomes
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • George, Lars. HBase: The Definitive Guide. O'Reilly.
  • H. Karau, A. Konwinski, P. Wendell, and M. Zaharia,. Learning Spark¿: Lightning-Fast Big Data Analysis. O'Reilly. 2015
  • Sandy Ryza . Advanced analytics with spark¿: patterns for learning from data at scale. O'Reilly. 2015
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • PENTREATH, N. y PAUNIKAR, A. Machine learning with Spark : create scalable machine learning applications to power a modern data-driven business using Spark. Packt Publishing. 2015
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN

The course syllabus may change due academic events or other reasons.