Abstract | ||
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The large availability of open government data raises enormous opportunities for open big data analytics. However, providing an end-to-end framework able to handle tasks from data extraction and processing to a web interface involves many challenges. One critical factor is the existence of many players with different knowledge, who need to interact, such as application domain experts, database designers, and web developers. This represents a knowledge gap that is difficult to overcome. In this paper, we present a case study for big data analytics over Brazilian educational data, with more than 1 billion records. We show how we organized the data analytics phase, starting from the analytics requirements, data evolution, development and deployment in a public interface. |
Year | Venue | Field |
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2018 | ICWE | World Wide Web,End user,Data analysis,Computer science,Open government,Application domain,Data extraction,User interface,Analytics,Big data |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rudolf Eckelberg | 1 | 0 | 0.34 |
Vytor Bezerra Calixto | 2 | 0 | 0.34 |
Marina A. Hoshiba Pimentel | 3 | 0 | 0.68 |
Marcos Didonet Del Fabro | 4 | 273 | 34.14 |
Marcos Sfair Sunyé | 5 | 14 | 5.13 |
Leticia Mara Peres | 6 | 1 | 4.41 |
Eduardo Todt | 7 | 22 | 6.70 |
Thiago Alves | 8 | 0 | 0.34 |
Adriana Dragone | 9 | 0 | 0.34 |
Gabriela Schneider | 10 | 0 | 0.34 |