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Ethics for Big Data and Analytics
IEEE Intelligent Systems, 2016This article investigates some issues associated with big data and analytics (big data) and ethics, examining how big data ethics are different than computer ethics and other more general ethical frameworks. In so doing, the author briefly investigates some of the previous research in "computer ethics," reviews some codes of ethics, analyzes the ...
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Prescriptive Analytics for Big Data
2016Prescriptive analytics is considered as the next frontier in the area of business analytics. It provides organizations with adaptive, automated, and time-dependent courses of actions to take advantage of likely business opportunities. Given enterprises’ objectives, prescriptive analytics assists them maximize their business values and at the same time ...
Reza Soltanpoor, Timos Sellis
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Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
Born from a Berkeley graduate project, the Apache Spark library has grown to be the most broadly used big data analytics platform. While Spark integrates with the older Hadoop ecosystem, it provides much more intuitive, faster, and powerful abstractions for manipulating distributed data than MapReduce.
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Born from a Berkeley graduate project, the Apache Spark library has grown to be the most broadly used big data analytics platform. While Spark integrates with the older Hadoop ecosystem, it provides much more intuitive, faster, and powerful abstractions for manipulating distributed data than MapReduce.
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Introduction of Big Data With Analytics of Big Data
2021This chapter explained big data and how to do the data analytics in big data along with the basics of big data with its common traits. This chapter described technology that is used to handle the big data like, NoSQL, Hadoop, MangoDB, MapReduce, etc.
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Situated big data and big data analytics for healthcare
2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017Big Data and Big Data Analytics are a set of emerging technologies that allow researchers, organizations, and businesses to draw actionable insights from large data sets. A primary source of such large data sets are those created in a healthcare or medical context.
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Business analytics and big data
International Journal of Information Management, 2019José Braga de Vasconcelos +1 more
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An algebra for distributed Big Data analytics
Journal of Functional Programming, 2017Abstract We present an algebra for data-intensive scalable computing based on monoid homomorphisms that consists of a small set of operations that capture most features supported by current domain-specific languages for data-centric distributed computing.
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