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                 Scientific research applications and


                 usage






                 This chapter focuses on the building of a big data application that is used within CERN,
                 where the complexity of large data loads and its automated analysis and insights
                 execution is the norm. This will include the discussion on data ingestion, large data
                 sets, streaming data sets, data computations, distributed data processing, replications,
                 stream versus batch analytics, analytic formulas, once versus repetitive executions of
                 algorithms, supervised and unsupervised learning, neural networks execution, and
                 applying visualizations and data storyboarding. The research community benefits of
                 the big data stack and applications, how to avoid risks and pitfalls, when to boil
                 theocean,and whereto avoid trapswill all be discussed in the last segment of this
                 chapter.
                   The name CERN is derived from the acronym for the French “Conseil Europe ´en pour
                 la Recherche Nucle ´aire,” or European Council for Nuclear Research, a provisional body
                 founded in 1952 with the mandate of establishing a world-class fundamental physics
                 research organization in Europe. At that time, pure physics research concentrated on
                 understanding the inside of the atom, hence the word “nuclear.”
                   In 1964, there were two physicists Francois Englert and Peter Higgs who published
                                                        ¸
                 individual papers on particle physics and defined that there must exist a particle that is
                 smaller than an atom and even smaller than a proton and electron, which can be called
                 as “God particle”. To illustrate the name they called it a “boson” after Satyendranath
                 Bose another physicist who collaborated with Albert Einstein on several experiments.
                 Some of the pair’s work resulted in the invention of BoseeEinstein statistics, a way to
                 describe the behavior of a class of particles that now shares Bose’s name. Two bosons
                 with identical properties can be in the same place at the same time, but two fermions
                 cannot. This is why photons, which are bosons, can travel together in concentrated laser
                 beams. But electrons, which are fermions, must stay away from each other, which
                 explains why electrons must reside in separate orbits in atoms. The boson discovery
                 when done will open several new ways of understanding the universe which till date has
                 been understood around 4%.










                 Building Big Data Applications. https://doi.org/10.1016/B978-0-12-815746-6.00004-1  85
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