Smart City Gnosys

Smart city article details

Title Implementing Big Data Lake For Heterogeneous Data Sources
ID_Doc 30624
Authors Mehmood H.; Gilman E.; Cortes M.; Kostakos P.; Byrne A.; Valta K.; Tekes S.; Riekki J.
Year 2019
Published Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019
DOI http://dx.doi.org/10.1109/ICDEW.2019.00-37
Abstract Modern connected cities are more and more leveraging advances in ICT to improve their services and the quality of life of their inhabitants. The data generated from different sources, such as environmental sensors, social networking platforms, traffic counters, are harnessed to achieve these end goals. However, collecting, integrating, and analyzing all the heterogeneous data sources available from the cities is a challenge. This article suggests a data lake approach built on Big Data technologies, to gather all the data together for further analysis. The platform, described here, enables data collection, storage, integration, and further analysis and visualization of the results. This solution is the first attempt to integrate a diverse set of data sources from four pilot cities as part of the CUTLER project (Coastal urban development through the lenses of resiliency). The design and implementation details, as well as usage scenarios are presented in this paper. © 2019 IEEE.
Author Keywords Big Data; Data analysis; Data lake; Smart City


Similar Articles


Id Similarity Authors Title Published
1229 View0.883Silvestri S.; Tricomi G.; Damiano E.; Sicuranza M.; Ciampi M.A Data Platform For The Integration Of Smart City SubsystemsLecture Notes on Data Engineering and Communications Technologies, 232 (2025)
25488 View0.873Ogunkan D.V.; Ogunkan S.K.Exploring Big Data Applications In Sustainable Urban Infrastructure: A ReviewUrban Governance, 5, 1 (2025)
17684 View0.873Sinaeepourfard A.; Shaik S.; Mesgaribarzi N.Decentralized, Distributed, And Hybrid Ict Architectures: Hierarchical Multitier Big Data Driven Management For Smart, Sustainable, Scalable And Reliable Cities2024 IEEE Conference on Technologies for Sustainability, SusTech 2024 (2024)
12947 View0.865Badidi E.; El Neyadi N.; Al Saeedi M.; Al Kaabi F.; Maheswaran M.Building A Data Pipeline For The Management And Processing Of Urban Data StreamsHandbook of Smart Cities: Software Services and Cyber Infrastructure (2018)
57665 View0.865Ramos G.S.; Fernandes D.; Coelho J.A.P.M.; Aquino A.L.L.Toward Data Lake Technologies For Intelligent Societies And CitiesEAI/Springer Innovations in Communication and Computing, Part F633 (2023)
60032 View0.865Strielkowski W.; Faminskaya M.; Potekhina E.Urban Infrastructure Via Big DataE3S Web of Conferences, 301 (2021)
28752 View0.865Pandey S.K.; Khan M.T.; Qiu R.G.Harnessing Big Data And Analytics Solutions In Support Of Smart City ServicesSpringer Proceedings in Business and Economics (2019)
56004 View0.864Bibri S.E.The Leading Data-Driven Smart Cities In Europe: Their Applied Solutions And Best Practices For Sustainable DevelopmentAdvances in Science, Technology and Innovation (2020)
11997 View0.864Bibri S.E.Big Data Analytics And Context-Aware Computing: Core Enabling Technologies, Techniques, Processes, And SystemsUrban Book Series (2018)
12015 View0.863Singh Rathore S.P.; Vishnubhai Dalabhai C.; Babubhai Patel C.K.; Sharma R.; Mathur A.; Yadav A.Big Data Analytics For Smart CitiesProceedings - IEEE 2024 1st International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024 (2024)