Big-Data Computing: Creating revolutionary breakthroughs in commerce, science, and society

By Randal E. Bryant, R. Katz, Ed Lazowska. 2008

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Citations in the corpus

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations (2018, background): “At the beginning of 2009, big data analytics entered the revolutionary stage (Bryant et al., 2008).”
Big Data, new epistemologies and paradigm shifts (2014, background): “For example, it is contended that data-driven science will transform our understanding of environmental systems (Bryant et al., 2008; Lehning et al., 2009).”
Can we trust Big Data? Applying philosophy of science to software (2016, background): “Embedded in many of the deﬁnitions of Big Data is the assumption that even just given the vast amount of information involved, no equation worked by paper and pencil could in practice be deployed to deal with it (Bryant et al., 2008).”
Big Data in product lifecycle management (2015, background): “The academic milestones [8, 27, 30 – 35] in the brief history of “ Big Data ” since 1997 are illustrated in Fig.”
Cloud computing for Internet of Things & sensing based applications (2012, background): “In medical stream, MRI imaging, CT Scan and genetic analytics creates huge digital data related to patients[33], when analysed gives fundamental insight in the environmental & genetic causes of the diseases, that leads to advancement in diagnosis techniques.”
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, background): “The IoT employs a large number of embedded devices, like sensors and actuators that generate big data which in turn requires complex computations to extract knowledge [165].”