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The DNA data deluge

M. C. Schatz, B. Langmead
2013 IEEE spectrum  
This scenario is just a hint of what is to come if we can figure out how to channel the data deluge in genomics.  ...  These systems also divide up large tasks among many computers but make no provision for the computers to exchange information.  ... 
doi:10.1109/mspec.2013.6545119 pmid:24920863 pmcid:PMC4048922 fatcat:4rhynuidbvhgdjp4bwavkz2oa4

Social science data repositories in data deluge

Wei Jeng, Daqing He, Yu Chi
2017 Electronic library  
The Open Archival Information System (OAIS) model has been widely adopted as a framework for creating and maintaining digital repositories.  ...  Purpose: Due to the recent surge of interest in the age of the data deluge, the importance of researching data infrastructures is increasing.  ...  This study is also partially supported by the project titled Research on Knowledge Organization and Service Innovation in the Big Data Environments funded by the National Natural Science Foundation of  ... 
doi:10.1108/el-11-2016-0243 fatcat:o7h6dzuozjgvvgjedbotecu3pu

DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge [article]

Chen Wu, Rodrigo Tobar, Kevin Vinsen, Andreas Wicenec, Dave Pallot, Baoqiang Lao, Ruonan Wang, Tao An, Mark Boulton, Ian Cooper, Richard Dodson, Markus Dolensky, Ying Mei, Feng Wang
2017 arXiv   pre-print
Jansky Very Large Array and the Mingantu Ultrawide Spectral Radioheliograph; and is being developed as the execution framework prototype for the Science Data Processor (SDP) consortium of the Square Kilometre  ...  It includes an interface for expressing complex data reduction pipelines consisting of both data sets and algorithmic components and an implementation run-time to execute such pipelines on distributed  ...  Conclusion and Future Work In this paper, we provided the technical overview of DALiuGE, an execution framework developed to meet the challenges imposed by the astronomical data deluge in general [68,  ... 
arXiv:1702.07617v1 fatcat:mdytnmtb3fg3tc6j64wv3onsaq

The computational turn in education research: Critical and creative perspectives on the digital data deluge

Elizabeth de Freitas, Ezekiel Dixon-Román
2017 Research in education (Manchester)  
Kitchin (2014) emphasizes the challenges and opportunities for researchers in the social sciences as they delve into this deluge.  ...  and big data in education research.  ... 
doi:10.1177/0034523717723384 fatcat:rxmfddp2zrd6fdjdnkp56t5wpu

Après le déluge: Institutions, the Global Financial Crisis, and Bank Profitability in Transition

Christopher Hartwell
2015 Open Economies Review  
The effect of democracy on banks is much more ambiguous but appears to negatively influence profitability indirectly through interest group channels and bank concentration.  ...  Bayesian model averaging The question of the drivers of bank profitability is a well-studied one in economics and finance, with papers from Bourke (1989) to Flamini et al. (2009) approaching the analysis  ...  Acknowledgments The author wishes to thank Roman Horvath, Laurent Weill, two anonymous referees, and participants at the IES-INFER Workshop BBanking in Europe: Current Challenges,^held in Prague on September  ... 
doi:10.1007/s11079-015-9349-9 fatcat:7pkij7ofd5bmdoce4kjhpvom7y

In-Store Experiences that Indian Fashion Retailers Need to Create in the Age of Omni Channel Shopping

Pragati Sinha
2019 International Journal of Academic Research in Business and Social Sciences  
The research supports the suggestions offered to create an engaging shopping journey that may help the Indian brick and mortar stores gain trust and buyer motivations.  ...  Delivering integrated service system of the e-shopping store in a real store, the fashion and lifestyle retailers can increase the store footprint despite a fast evolving digital market space.  ...  Subrata Ghosh who has time and again provided me the insights on which retail works and also is one of the few retailers whom I revere and respect for his contribution to Indian retail.  ... 
doi:10.6007/ijarbss/v9-i6/5973 fatcat:n23rjadccvcgli7gy7fousjxdi

The Lake Missoula Floods and the Channeled Scabland

J. Harlen Bretz
1969 The Journal of geology  
We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. .  ...  JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive.  ...  With more data than presently announced (Nelson and Byrne 1968), the deep-sea fan at the mouth of the Columbia River may conceivably yield information on the arrival of various catastrophic floods.  ... 
doi:10.1086/627452 fatcat:uedhr46f3ngrhdm6o63bow4wtu

Information Extraction from Multifaceted Unstructured Big Data

2019 International journal of recent technology and engineering  
The issues with unstructured data and the challenges to information extraction from multifaceted unstructured big data as well as the future research directions have also been discussed  ...  Also, these applications are contributing to generate big data deluge where a variety of data necessitate the industries to use advanced IT approaches. 95% of the digital universe is unstructured data.  ...  The issues with unstructured data and the challenges to information extraction from multifaceted unstructured big data as well as the future research directions have also been discussed Index Terms: unstructured  ... 
doi:10.35940/ijrte.b1074.0882s819 fatcat:iwpaamsftrgztduhgfkbmgo3du

Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities

Marcus Paradies, Sirko Schindler, Stephan Kiemle, Eberhard Mikusch
2018 Lernen, Wissen, Daten, Analysen  
In this paper we describe the challenges of large-scale data management based on observations from a real system employed for EO at the German Remote Sensing Data Center.  ...  Due to the sheer size and heterogeneity of the data, EO poses tremendous challenges to the payload ground segment, to receive, store, process, and preserve the data for later investigation by end users  ...  Challenges and Research Opportunities The management of EO data faces unique challenges due to the data deluge produced by sensors, the need for efficient processing of complex, domain-specific, data-intensive  ... 
dblp:conf/lwa/ParadiesSKM18 fatcat:qod35nbekvb2tfigcx7hfvzgxi

MANAGING HUMAN INDUCED CRISIS WITH BIG DATA INFRASTRUCTURE

Afolabi Ojerinde, Philip Adewole
2018 Journal of Review and Research in Sciences  
The Hadoop distributed file system was used for data storage in the analytical engine, crisis data were collected via Twitter API and web service generated by the project website using Apache Flume and  ...  This paper presents human induced crisis management system using big data infrastructure.  ...  The peculiar challenges of Big Data informed its popularity and the development of varieties of tools to manage its.  ... 
doi:10.36108/jrrslasu/8102/50(0131) fatcat:wtx367ohk5ajzatqa4ne6r3mx4

Blending Iot And Big Data Analytics

Tulasi.B*, Girish J Vemulkar
2016 Zenodo  
Despite the benefits associated with the synthesis of Big Data analytics and IoT there are inherent complexities and challenges involved which needs to be catered.  ...  This paper focuses on the combination of Big Data analytics and IoT.  ...  The data intensive nature of IoT can be channeled with Big Data as a part of the solution to the challenges faced by IoT.  ... 
doi:10.5281/zenodo.48868 fatcat:2tth776omjazfok7pfi7ew46jy

Big Data in e-Government Environments: Albania as a Case Study

Ogerta Elezaj, Dhimiter Tole, Nevila Baci
2018 Academic Journal of Interdisciplinary Studies  
This research summarizes the current situation of big data initiatives in e-government in different countries.  ...  In this paper, we identify challenges and opportunities to start using Big Data in public organizations in Albania and we analyze methodological, organizational and processing challenges when big data  ...  Albania E-Government and Potential for Big Data Use With the latest information technology development, governments are increasingly relying on computerized information systems for monitoring and decision-making  ... 
doi:10.2478/ajis-2018-0052 fatcat:kxiy45urkndq7fi5fh4fuuw6ki

Advances in secure knowledge management in the big data era

Chittaranjan Hota, Shambhu Upadhyaya, Jamal Nazzal Al-Karaki
2015 Information Systems Frontiers  
Information is increasingly becoming important in our daily lives. We have become information dependents of the twenty-first century, living in an on-command, on-demand Big data world.  ...  Also, all these advancements are possible because we are drenched in a flood of data today. It is important to distinguish between data, information and knowledge. Data is a set of facts about events.  ...  Nasir Memon (Professor of Computer Science and Engineering at New York University) for his guidance as the Advisory Editor of this special issue. Shambhu J.  ... 
doi:10.1007/s10796-015-9593-y fatcat:4hlxwfhdwbekxo7e4352kabcjy

What can a knowledge complexity approach reveal about big data and archival practice?

Nicola Horsley
2017 2017 IEEE International Conference on Big Data (Big Data)  
As one of the major technological concepts driving ICT development today, big data has been touted as offering new forms of analysis of research data.  ...  This work-in-progress paper reports on the contribution of the KPLEX project's knowledge complexity approach to understanding the relationship between big data and archival practice.  ...  ACKNOWLEDGEMENT KPLEX is funded by the European Commission's Horizon 2020 Programme, Contract Number 732340.  ... 
doi:10.1109/bigdata.2017.8258176 dblp:conf/bigdataconf/Horsley17 fatcat:xkdejldqtrfilnmcmh5qbmgw4a

Storage Challenge: Where Will All That Big Data Go?

Neal Leavitt
2013 Computer  
COPING WITH THE DELUGE Several approaches have emerged for handling and managing large volumes of data.  ...  Storage Challenge: Where Will All That Big Data Go? Neal Leavitt A key topic in technology today is big data.  ... 
doi:10.1109/mc.2013.326 fatcat:k2bx57rlrjdptmvi4i5gy5ejxi
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