Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Presencial)
 Subjects
  Data Analytics with HPC
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Identifying Data 2019/20
Subject (*) Data Analytics with HPC Code 614473108
Study programme
Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Presencial)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 6
Language
English
Teaching method Face-to-face
Prerequisites
Department Enxeñaría de Computadores
Coordinador
López Taboada, Guillermo
E-mail
guillermo.lopez.taboada@udc.es
Lecturers
López Taboada, Guillermo
Rodríguez Álvarez, Gabriel
E-mail
guillermo.lopez.taboada@udc.es
gabriel.rodriguez@udc.es
Web http://aula.cesga.es
General description The increasing amount of information available through the Internet calls for the efficient processing of large amounts of data. This has led to the development of new storage and processing techniques to deal with huge amounts of data, namely Big Data techniques, that naturally adapt to distributed systems. The main goal of this subject is to learn suitable processing techniques for large amounts of information in the Big Data world, particularly using the Hadoop ecosystem, and compare these techniques with the traditional ones employed in HPC environments. This will allow the student to select the optimal tools to solve a particular problem.
Contingency plan
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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