数据科学:与大数据、数据驱动预测和机器学习的关系

Akansha Singh, Nidhi Saxena
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引用次数: 0

摘要

我们生活在大数据、高级分析和数据科学的时代。如今,公司已经意识到数据管理的重要性,因此正在招聘数据科学家,学术机构和出版物已经接受数据科学作为趋势职业选择之一。当今时代的IT产业发展非常迅速。随着IT行业需求的不断增长,各个子单元的需求也在以巨大的速度发展。分布式计算的引入已经解决了行业的问题,但现在分析需求的增长速度将对行业、组织和社会构成巨大挑战。如果我们想让这门科学有效地服务和促进商业发展,我们必须(i)认识到它与其他重要技术和概念的联系,(ii)开始对数据科学的基本意识形态进行分类。本文系统地概述了数据科学、数据科学的应用及其与其他重要相关观念的相互作用。数据科学与分布式计算的结合可以解决许多行业问题。
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Data Science: Relationship with big data, data driven predictions and machine learning
We are living in the age of big data, advanced analytics, and data science. Companies these days have realized the importance of data management and therefore are recruiting staff as data scientists and academics institutions and publications have accepted data science as one the trending career options. The current era of IT industry is evolving very rapidly. With the growing requirement of IT sector the demand of each sub-unit is also developing with huge pace. Introduction of distributed computing had resolved the issues of the industry but now analyzing the growth pace the requirements will be drastically challenging for the industry, organisations as well as society. If we want this science to serve and promote business effectively, it is important for us (i) to recognize its associations to other important technologies and concepts, and (ii) to initiate the classify the fundamental ideologies underlying data science. This paper has a systematic overview on data science, its application and its interactions to other important related perceptions. The combination of data science and distributed computing can resolve many issues of the industry.
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