A Comprehensive Study on Application and Future Trends in Data Science
Keywords:
Information, Data, Unstructured Data, Visualization, Management, PreservationAbstract
Data Science refers to an emerging area of work concerned with the collection, preparation, analysis, visualization, management, and preservation of large collections of information. Although the name Data Science seems to connect most strongly with areas such as databases and computer science, many different kinds of skills including non-mathematical skills are also needed here. Data Science is much more than simply analyzing data. There are many people who enjoy analyzing data who could happily spend all day looking at histograms and averages, but for those who prefer other activities, data science offers a range of roles and requires a range of skills. Data science includes data analysis as an important component of the skill set required for many jobs in the area, but is not the only skill. Data scientists play active roles in the design and implementation work of four related areas such as data architecture, data acquisition, data analysis and data archiving. In the present paper the authors will try to explore the different issues, implementation and challenges in area called Data science.
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