FRINK Linked Data Fragments server

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• W2316141017 abstract "In this paper I want to highlight what we believe to be the key technology dimensions for evaluating data management solutions. This paper offers and explore define what is meant by big data, We review analytics techniques for text, audio, video, and social media data, We make the case for new statistical techniques for big data, We highlight the expected future developments in big data analytics, Examines cloud data management architectures and Covers Big Data analytics and visualization.It not only considers data management and analytics for vast amounts of unstructured data but also Explores clustering, classification, and link analysis of Big Data. Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. that addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments.The basic concepts and tools of large-scale Big Data processing and cloud computing can be view here and hope every one will get basic idea about these concepts. It also provides an overview of different programming models and cloud-based deployment models that examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing Big Data such as consistency management, privacy, and security." @default.
• W2316141017 created "2016-06-24" @default.
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• W2316141017 date "2016-04-09" @default.
• W2316141017 modified "2023-10-18" @default.
• W2316141017 title "Big Data and Large Scale Methods In Cloud Computing" @default.
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• W2316141017 doi "https://doi.org/10.18535/ijecs/v5i4.12" @default.
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