大数据 | Data Science & Big Data Analytics

作者:阁楼君

Data is created constantly, and at an ever-increasing rate. Mobile phones, social media, imaging technologies to determine a medical diagnosis—all these and more create new data, and that must be stored somewhere for some purpose.

Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data



By David Dietrich



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Much has been written about Big Data and the need for advanced analytics within industry, academia, and government. Availability of new data sources and the rise of more complex analytical opportunities have created a need to rethink existing data architectures to enable analytics that take advantage of Big Data. In addition, significant debate exists about what Big Data is and what kinds of skills are required to make best use of it. This chapter explains several key concepts to clarify what is meant by Big Data, why advanced analytics are needed, how Data Science differs from Business Intelligence (BI), and what new roles are needed for the new Big Data ecosystem.


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更多大数据资料请点击下方链接:

         BIG DATA 大数据总概

 





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标签:   big data 大数据

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