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ITU Standards on big data


            Advances  in  information  and  communication
            technology (ICT) are enabling masses of data to be
            generated,  transmitted  and  stored,  and  this
            explosive growth is increasing in pace. It is quite
            difficult to analyze the data efficiently within the
            allowable elapsed time. The paradigm developed
            to solve the above problem is called big data. In
            addition,  the  importance  of  big  data  has  been
            steadily increasing due to the rapid spread of data-
            driven  computing  such  as  artificial  intelligence.
            With  these  considerations,  ITU  has  been
            developing  Recommendations  for  big  data  since
            2013. ITU newly defined a composite term for big
            data  as  a  paradigm  for  enabling  the  collection,
            storage, management, analysis and visualization,
            potentially  under  real-time  constraints,  of
            extensive   datasets    with    heterogeneous
            characteristics  (e.g.  high-volume,  high-velocity,
            high-variety,  etc.),  as  well  as  for  its  ecosystem.
            Figure 1 shows the standardization scope of big                    Dr Kangchan Lee
            data  in  ITU  including  a  big  data  ecosystem,            Rapporteur of Question 17
            lifecycle  of  big  data  and  three  major              (Requirements, ecosystem, and general
            standardization area: supporting big data lifecycle,   capabilities for cloud computing and big data)
            security  and  management,  and  big  data  driven              in ITU-T Study Group 13
            applications.

            In this regard, ITU-T has developed fundamental
            standards for big data as follows:
            –     Recommendation ITU-T Y.3600 “Big data –
                  Cloud  computing  based  requirements  and
                  capabilities”   provides   requirements,

                  capabilities  and  use  cases  of  cloud
                  computing  based  big  data  as  well  as  its
                  system  context.  The  big  data  ecosystem
                  defined  in  this  Recommendation  is  being
                  used as a basis for the development of other
                  big data related Recommendations.

            –     Recommendation ITU-T Y.3601 “Big data –
                  Functional   requirements    for   data
                  exchange”  specifies  the  framework  and
                  requirements  for  data  exchange  in  a  big
                  data  ecosystem.  This  Recommendation
                  identifies  general  concepts,  patterns,
                  activities,  and  functional  requirements
                  based  on  the  big  data  ecosystem  and
                  capabilities defined in [ITU-T Y.3600].









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