A Study of Data Science Technologies & Big Data Analytics
Posted: 17 Jul 2017 Last revised: 19 Jul 2017
Date Written: July 12, 2017
Data is increasingly cheap and ubiquitous. We are now digitizing analog content that was created over centuries and collecting myriad new types of data from web logs, mobile devices, sensors, instruments, and transactions. At the same time, new technologies are emerging to organize and make sense of this avalanche of data. We can now identify patterns and regularities in data of all sorts that allow us to advance scholarship, improve the human condition, and create commercial and social value. The rise of "Data Science" has the potential to deepen our understanding of phenomena ranging from physical and biological systems to human social and economic behavior. Data Science refers to an emerging latest area of work which concerned with the gathering, preparation, analysis, visualization, management and preservation of vast amount of information. The name data science seems to be connect the area of computer science, may require other skills including statistical, mathamatical, and information technology skills are also required here. This paper gives a clear idea about the different data science technologies used in Big data analytics.
Keywords: data science, analytics, big data, patterns, data visualization
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