Title
Towards the Development of a Data Science Modular Solution
Abstract
With the technological progress that has been happening in the last few years, and now with the actual implementation of the Internet of Things concept, it is possible to observe an enormous amount of data being collected each minute. Well, this brings a problem along the way: "How can we process such amount of data in order to extract relevant knowledge in useful time?". That's not an easy issue to solve because most of the times it is needed to deal not just with tons of data but with different kinds of it which makes the problem even more complex. Therefore, the focus of this paper is to present a possible solution to this problem and try to give it a modular solution, adaptable to different realities, multi-schemas (structured and unstructured), using recent technologies and that allow users to access information where and when they wish.
Year
DOI
Venue
2019
10.1109/FiCloudW.2019.00030
2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)
Keywords
DocType
ISBN
unstructured data, data warehouse, OLAP, ETL
Conference
978-1-7281-4412-2
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Gisela Fernandes100.34
Filipe Portela217744.10
Manuel Filipe Santos336068.91