Big Data Ecosystem Case Study

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Petersohn, D. ; Spencer, M. ; Fratila, A. ; Chi-RenShyu Present a novel method by using an in-memory computing environment database for all mammals in Ensembl release 80 for identifying, extracting, and indexing palindromes in a searchable. [27]

Rathore, M.Mazhar ; Ahmad, Awais ; Paul, Anand ; Daniel, Alfred Proposes a set of requirements for obtaining pervasive, integrated information system of EOS and associated services like real-time and offline data processing. [28]

Ling Cen ; Ruta, D. ; Ng, Jason. Proposed a method for Big Data analytics to improve the students' learning and maximise their knowledge retention. [29]

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Demchenko, Y. ; de Laat, C. ; Membrey, P. To address all aspects of the Big Data Ecosystem, a Big Data
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; Liang-Jie Zhang ; Jiake Shi Proposed a Big Data application platform for business to simply develop and operate personalized data retrieval, data analysis, business intelligence and other intensive services of data. [31]

Shifeng Fang ; Li Da Xu ; Yunqiang Zhu ; JiaerhengAhati Introduces a novel IIS(Integrated Information System) that combines Geoinformatics [remote sensing, GIS, and GPS], Internet of Things (IoT), Cloud Computing, and e-Science for environmental examining and management. [32]

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Shtern, M. ; York Univ., Toronto, ON, Canada ; Simmons, B. ; Smit, M. ; Litoiu, M. Introduce an approach to sharing that enables fine-grained control over what type of data is shared. [33]

Smit, M. ; Shtern, M. ; Simmons, B. ; Litoiu, M. Services-based ecosystem is introduced that allows providers to share portions of their data (by using a model) with users, where users submit MapReduce jobs that run on the Hadoop infrastructure of provider. [34]

Zhibo Pang ; Qiang Chen ; JunzheTian ; LirongZheng To exploitbig potential in business itintroduce an ecosystem-driven design method and implement it in the design of an open-platform based solution. [35]

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