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26      CHAPTER 2 BIG DATA ANALYTICS CHALLENGES AND SOLUTIONS




























                                                                               Frequency of visit
                                                                         90
                                                                         80
                                                                         70
                                                                         60              Daily
                                                                                         Twice a week
                                                                         50
                                                                                         Weekly
                                                                         40              Monthly
                                                                         30
                                                                         20
                                                                         10
                                                                          0

             FIG. 2.6
             Human body as a source of data.


             2.3.3 DEFINING AND DETECTING ANOMALIES IN HUMAN ECOSYSTEMS
             An overarching undertaking, while attempting to update a degree or to discover anomalies in human
             ecosystems, is the characterization of abnormality. The character and detection of what may constitute
             socioeconomic “anomalies” and how they differ certainly may be much less clear cut from anomalies
             in the realm of detecting sickness outbreaks or monitoring malfunctions in other types of dynamic
             structures, such as upgraded car engines [25]. Data size is increasing exponentially every day and
             is creating a large amount of health data, as shown in Fig. 2.6.




             2.4 DEMANDING SITUATIONS IN MANAGING HUGE RECORDS
             The data required for analytical and computational causes are strongly heterogeneous, which in-
             clude typical integration problems of both statistics and schema, and the data are additionally
             updated by the advent of new and updated architectures for analytics [26]. A massive challenge
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