2013
Authors
João José Pinto Ferreira; Anne-Laure Mention; Marko Torkkeli;
Publication
Journal of Innovation Management
Abstract
2013
Authors
Ferreira J.J.P.; Mention A.L.; Torkkeli M.;
Publication
Journal of Innovation Management
Abstract
2013
Authors
Almeida, FLF; Calistru, C;
Publication
International Journal of Research Studies in Computing
Abstract
2013
Authors
Portela I.M.; Almeida F.;
Publication
Organizational, Legal, and Technological Dimensions of Information System Administration
Abstract
In addition to capital infrastructure and consumers, digital information created by individual and corporate consumers of information technology is quickly being recognized as a key economic resource and an extremely valuable asset to a company. Organizational, Legal, and Technological Dimensions of Information System Administration recognizes the importance of information technology by addressing the most crucial issues, challenges, opportunities, and solutions related to the role and responsibility of an information system. Highlighting various aspects of the organizational and legal implications of system administration, this reference work will be useful to managers, IT professionals, and graduate students who seek to gain an understanding in this discipline.
2013
Authors
Almeida, F; D. Santos, J; A. Monteiro, J;
Publication
International Journal of Advanced Information Technology
Abstract
2013
Authors
Almeida, F; Santos, M;
Publication
Organizational, Legal, and Technological Dimensions of Information System Administration
Abstract
Big data is a term that has risen to prominence describing data that exceeds the processing capacity of conventional database systems. Big data is a disruptive force that will affect organizations across industries, sectors, and economies. Hidden in the immense volume, variety, and velocity of data that is produced today is new information, facts, relationships, indicators, and pointers that either could not be practically discovered in the past, or simply did not exist before. This new information, effectively captured, managed, and analyzed, has the power to enhance profoundly the effectiveness of government. This chapter looks to the main challenges and issues that will have to be addressed to capture the full potential of big data. Additionally, the authors present a conceptual framework for big data analysis structured in there layers: (a) data capture and preprocessing, (b) data processing and interaction, and (c) auxiliary tools. Each has a different role to play in capturing, processing, accessing, and analyzing big data.
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