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PATC: Introduction into the Big Data Analytics

appsOther research productkeyboard_double_arrow_right InteractiveResource 07 Feb 2022Publisher:Zenodo
Authors: Berral, Josep Lluis; Torre, Jordi; Calvo, Luz; Reyes, Patricio; Romero, Oscar; Abello, Alberto; Marinescu, Maria Cristina; +3 Authors

doi: 10.5281/zenodo.7566720 , 10.5281/zenodo.7566719

PATC: Introduction into the Big Data Analytics

Abstract

Course Lecturers: Josep Lluis Berral (BSC), Jordi Torres (BSC), Luz Calvo (BSC), Patricio Reyes (BSC), Oscar Romero (UPC), Alberto Abello (UPC), Maria Cristina Marinescu (BSC) Joaquim More (BSC), Artem Rashetnikov (BSC) and Petar Jovanovic (UPC). Objectives: The course brings together key information technologies used in manipulating, storing, and analysing data including: the basic tools for statistical analysis techniques for parallel processing tools for access to unstructured data storage solutions Learning outcomes: Students will be introduced to systems that can accept, store, and analyse large volumes of unstructured data. The learned skills can be used in data intensive application areas.

Keywords

Big Data Analytics, HPC, Training Material

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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