Paper Info
Title
The SusCity Big Data Warehousing Approach for Smart Cities
Abstract
Nowadays, the concept of Smart City provides a rich analytical context, highlighting the need to store and process vast amounts of heterogeneous data flowing at different velocities. This data is defined as Big Data, which imposes significant difficulties in traditional data techniques and technologies. Data Warehouses (DWs) have long been recognized as a fundamental enterprise asset, providing fact-based decision support for several organizations. The concept of DW is evolving. Traditionally, Relational Database Management Systems (RDBMSs) are used to store historical data, providing different analytical perspectives regarding several business processes. With the current advancements in Big Data techniques and technologies, the concept of Big Data Warehouse (BDW) emerges to surpass several limitations of traditional DWs. This paper presents a novel approach for designing and implementing BDWs, which has been supporting the SusCity data visualization platform. The BDW is a crucial component of the SusCity research project in the context of Smart Cities, supporting analytical tasks based on data collected in the city of Lisbon.
Year
DOI
Venue
2017
10.1145/3105831.3105841
IDEAS
Field
DocType
ISBN
Data science,Data warehouse,Data mining,Data visualization,Business process,Computer science,Decision support system,NoSQL,Smart city,Relational database management system,Big data,Database
Conference
978-1-4503-5220-8
Citations 
PageRank 
References 
2
0.40
28
Authors
2
Name
Order
Citations
PageRank
Carlos Costa1389.15
Maribel Yasmina Santos214635.41