Checking date: 10/07/2020

Course: 2020/2021

Data Processing
Master in Internet of Things: Applied Technologies (Plan: 428 - Estudio: 356)

Coordinating teacher: MOLINA BULLA, HAROLD YESID

Department assigned to the subject: Signal and Communications Theory Department

Type: Electives
ECTS Credits: 3.0 ECTS


Assessment System
  • % end-of-term-examination 80
  • % of continuous assessment (assigments, laboratory, practicals...) 20

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.