BIG DATA ANALYTICS: LECTURES FROM THE LAMBDA NETWORK
| Autor: | Janev, Valentina, Paunović, Dejan, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel, Vahdati, Sahar |
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| Rok vydání: | 2019 |
| Předmět: | |
| DOI: | 10.5281/zenodo.3555276 |
| Popis: | ig Data Analytics is a crucial component of the Big Data paradigm and corresponds to the knowledge extraction from an enormous amount of data. As the number of Big Data related methods, tools, frameworks and solutions is growing, there is a need to systematize the knowledge about the domain. Hence, in the LAMBDA project framework, an effort was made to develop a new set of lectures based on the education materials and courses offered by the University of Bonn and University of Oxford. This paper provides an overview of the LAMBDA training infrastructure and the open education contents developed so far, as well as initial evaluation about the possibilities for adoption of lectures at high-education institutions in the West Balkan countries. Funded by "Spreading Excellence and Widening Participation" Work Programme 2016-2017, LAMBDA project, GA No. 809965 |
| Databáze: | OpenAIRE |
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