research-article

Warehousing and Protecting Big Data: State-Of-The-Art-Analysis, Methodologies, Future Challenges

Author:

Alfredo CuzzocreaAuthors Info & Claims

ICC '16: Proceedings of the International Conference on Internet of things and Cloud Computing

Article No.: 14, Pages 1 - 7

https://doi.org/10.1145/2896387.2900335

Published: 22 March 2016 Publication History

Abstract

This paper proposes a comprehensive critical survey on the issues of warehousing and protecting big data, which are recognized as critical challenges of emerging big data research. Indeed, both are critical aspects to be considered in order to build truly, high-performance and highly-flexible big data management systems. We report on state-of-the-art approaches, methodologies and trends, and finally conclude by providing open problems and challenging research directions to be considered by future efforts.

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Singh HSingh HPaul A(2021)Dynamic ICT Modeling for Handling Student Data Using Big Data Technology and Hybrid Cloud ComputingComputer Communication, Networking and IoT10.1007/978-981-16-0980-0_2(9-21)Online publication date: 19-Jun-2021
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Singh HSingh H(2021)A Framework for Computerization of Punjab Technical Education System for Financial Assistance to Underrepresented StudentsAdvances in Software Engineering, Education, and e-Learning10.1007/978-3-030-70873-3_24(337-349)Online publication date: 9-Sep-2021
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Warehousing and Protecting Big Data: State-Of-The-Art-Analysis, Methodologies, Future Challenges
1. Information systems
  1. Data management systems
    1. Information integration
  2. Information systems applications
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Published In

cover image ACM Other conferences

ICC '16: Proceedings of the International Conference on Internet of things and Cloud Computing

March 2016

535 pages

ISBN:9781450340632

DOI:10.1145/2896387

Editors:
Djallel Eddine Boubiche
University of Batna 2, Algeria
,
Faouzi Hidoussi
Hadj Lakhdar University, Algeria
,
Lyamine Guezouli
University of Batna 2, Algeria
,
Ahcène Bounceur
University of Western Britanny, France
,
Homero Toral Cruz
University of Quintana Roo, Mexico

Copyright © 2016 ACM.

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Published: 22 March 2016

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ICC '16

ICC '16: International Conference on Internet of things and Cloud Computing

March 22 - 23, 2016

Cambridge, United Kingdom

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Cited By

Singh HSingh HPaul A(2021)Dynamic ICT Modeling for Handling Student Data Using Big Data Technology and Hybrid Cloud ComputingComputer Communication, Networking and IoT10.1007/978-981-16-0980-0_2(9-21)Online publication date: 19-Jun-2021
https://doi.org/10.1007/978-981-16-0980-0_2
Singh HSingh H(2021)A Framework for Computerization of Punjab Technical Education System for Financial Assistance to Underrepresented StudentsAdvances in Software Engineering, Education, and e-Learning10.1007/978-3-030-70873-3_24(337-349)Online publication date: 9-Sep-2021
https://doi.org/10.1007/978-3-030-70873-3_24
Rocha GCapelo PCiferri C(2020)Healthcare Decision-Making Over a Geographic, Socioeconomic, and Image Data WarehouseADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium10.1007/978-3-030-55814-7_7(85-97)Online publication date: 18-Aug-2020
https://doi.org/10.1007/978-3-030-55814-7_7
Khine PWang Z(2019)A Review of Polyglot Persistence in the Big Data WorldInformation10.3390/info1004014110:4(141)Online publication date: 16-Apr-2019
https://doi.org/10.3390/info10040141
Sebaa AChikh FNouicer ATari A(2018)Medical Big Data WarehouseJournal of Medical Systems10.1007/s10916-018-0894-942:4(1-16)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s10916-018-0894-9
Sebaa ANouicer AChikh FTari ALazaar MTabii YChrayah MAl Achhab M(2017)Big Data Technologies to Improve Medical Data WarehousingProceedings of the 2nd international Conference on Big Data, Cloud and Applications10.1145/3090354.3090376(1-5)Online publication date: 29-Mar-2017
https://dl.acm.org/doi/10.1145/3090354.3090376
Patgiri RAhmed A(2016)Big Data: The V's of the Game Changer Paradigm2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)10.1109/HPCC-SmartCity-DSS.2016.0014(17-24)Online publication date: Dec-2016
https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0014

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