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Big data - Concept and application for telecommunications                       4
































                                    Figure 1 – Big data analysis in mobile Internet services


            As a new technology, big data analysis in the mobile Internet services environment is different from general
            big data analysis. Details are given below:
            a)      Complicated  data  flow:  The  big  data  analysis  processes  may  include  data  collection,  data
                    transaction, data analysis, data storage, and data application. A possible example of data flow is
                    shown in Figure 2.











                                             Figure 2 – An example of data flow
            b)      Asynchronous structure: The diagram in Figure 2 shows that not only is the data flow rich and
                    complicated but the flow of data may also be asynchronous in nature and reaching near real time
                    may be challenging.

            Generally, big data analysis in mobile Internet services constitutes of the following entities:
            a)      The data collection entity, which collects data from smart devices.
            b)      The  data  pre-processing  entity,  which  aggregates  data,  unifies  the  data  collected  in  different
                    formats, extracts data from unstructured data or semi-structured data into structured data.
            c)      The data analysis entity, which analyses the data of mobile Internet services in various data types
                    and formats.
            d)      The data application entity, which applies the big data results for services.














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