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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