Abstract
Nowadays, organizations have at their disposal a large volume of data with a wide variety of types. Technology-driven organizations want to capture process and analyze this data at a fast velocity, in order to better understand and manage their customers, their operations and their business processes. As much as data volume and variety increases and as faster analytic results are needed, more demanding is for a data architecture. This data architecture should enable collecting, storing, and analyzing Big Data in Cloud Environment. Cloud Computing, ensures timeliness, ubiquity and easy access by users. This paper proposes to develop a data architecture to support Big Data in Cloud and, finally, validate the architecture with a proof of concept.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, D., Das, S., Abbadi, A.E.: Big Data and Cloud Computing: New wine or just new bottles. PVLDB 3(2), 1647–1648 (2010)
Böhm, M., Leimeister, S., Riedl, C., Krcmar, H.: Cloud Computing–Outsourcing 2.0 or a new Business Model for IT Provisioning? In: Application Management, pp. 31–56. Gabler Verlag Springer Fachmedien Wiesbaden GmbH, Wiesbaden (2011)
Guoliang, L., Beng, C.O., Jianhua, F., Jianyoung, W., Lizhu, Z.: EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD 2008, pp. 903–914 (2008)
Halper, F., Krishnan, K.: TDWI Big Data Maturity Model Guide Interpreting Your Assessment Score. TDWI Benchmark Guide 2013–2014 (2013)
Kimball, R., Ross, M.: The Data Warehouse Toolkit: The Defi nitive Guide to Dimensional Modeling, 3rd edn. (2013)
Laney, D.: 3D data management: Controlling data volume, velocity and variety. META Group Research Note, 6 (2001)
Lohr, S.: The Age of Big Data. The New York Times (2012)
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big data: The next frontier for innovation, competition, and productivity (2011)
Olivier, B., Thomas, B., Heinz, D., Hanspeter, C., Babak, F., Markus, F., Grivas, S., et al.: Cloud Computing. Swiss Academy of Engineering Sciences (2012)
Oswaldo, T., Pjotr, P., Marc, S., Ritsert, C.J.: Big data, but are we ready, pp. 647–657 (2010)
Russom, P.: Managing Big Data. TDWI Best Practices Report Fourth Quarter (2013)
Stonebraker, M.: What Does ‘Big Data’ Mean? Communications of the ACM (2012)
Stuckenberg, S., Fielt, E., Loser, T.: The Impact of Software-As-A-Service on Business Models of Leading Software Vendors. In: Experiences From Three Exploratory Case Studies. Proceedings of the 15th Pacific Asia Conference on Information Systems, PACIS 2011 (2011)
Youseff, L., Butrico, M., Da Silva, D.: Toward a Unified Ontology of Cloud Computing. Grid. In: GCE 2008 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Sá, J.O.e., Martins, C., Simões, P. (2015). Big Data in Cloud: A Data Architecture. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_71
Download citation
DOI: https://doi.org/10.1007/978-3-319-16486-1_71
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16485-4
Online ISBN: 978-3-319-16486-1
eBook Packages: Computer ScienceComputer Science (R0)