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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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Workload management for Big Data analytics
2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013Parallel database systems and MapReduce systems are essential components of today's infrastructure for Big Data analytics. These systems process multiple concurrent workloads consisting of complex user requests, where each request is associated with an (explicit or implicit) service level objective.
Ashraf Aboulnaga, Shivnath Babu
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Big education: Opportunities for Big Data analytics
2015 IEEE International Conference on Digital Signal Processing (DSP), 2015Big Data have demonstrated significant values in extension of our insight and foresight into the world. With the rapid development of communication technologies and mobile devices, educational data have been generated at an unprecedented pace. The emerging highly flexible and scalable approaches to data processing and analysis allow us to extract new ...
Ling Cen, Dymitr Ruta, Jason W. P. Ng
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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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Big Data and Advanced Analytics
2019Today a huge amount of data is collected and added in modern information system each day which become difficult to manage as it keeps on growing. To manage such type of data, Big Data and its emerging technology have been used. Big Data with their potential have attracted substantial interest both in academics and practitioners. Many organizations have
Arshiya Begum +2 more
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An Outline on Big Data and Big Data Analytics
2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2018With the rapid advancements in technological applications have led to the flooding of data from various sources like web, social network data, business data, medical records, etc. over the preceding years. As compared to traditional data, big data reveals a unique characteristic from its three V’s which means big data is unstructured.
Devottam Gaurav +3 more
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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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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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