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Big Data Challenges and Solutions in the Medical Industries

Ramgopal Kashyap, Albert Dayor Piersson

Source Title: Handbook of Research on Pattern Engineering System Development for Big Data Analytics

ISBN13: 9781522538707|ISBN10: 1522538704|EISBN13: 9781522538714

DOI: 10.4018/978-1-5225-3870-7.ch001

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MLA

Kashyap, Ramgopal, and Albert Dayor Piersson. "Big Data Challenges and Solutions in the Medical Industries." Handbook of Research on Pattern Engineering System Development for Big Data Analytics, edited by Vivek Tiwari, et al., IGI Global, 2018, pp. 1-24. https://doi.org/10.4018/978-1-5225-3870-7.ch001

APA

Kashyap, R. & Piersson, A. D. (2018). Big Data Challenges and Solutions in the Medical Industries. In V. Tiwari, R. Thakur, B. Tiwari, & S. Gupta (Eds.), Handbook of Research on Pattern Engineering System Development for Big Data Analytics (pp. 1-24). IGI Global. https://doi.org/10.4018/978-1-5225-3870-7.ch001

Chicago

Kashyap, Ramgopal, and Albert Dayor Piersson. "Big Data Challenges and Solutions in the Medical Industries." In Handbook of Research on Pattern Engineering System Development for Big Data Analytics, edited by Vivek Tiwari, et al., 1-24. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3870-7.ch001

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Abstract

Big data today is being investigated to find the bits of knowledge that prompt better choices and vital business moves. The data innovations are developing to a point in which an ever-increasing number of associations are set up to pilot and embrace big data as a center part of the data administration and examination framework. It is a range of research that is blasting yet at the same time confronts many difficulties in utilizing the esteem that information brings to the table. The battle against “spam information” and information quality is a pivotal issue. Big data challenges are discussed and some solutions are proposed because the volume of made information will surpass the capacity limits and will require cautious determination.

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Big Data Challenges and Solutions in the Medical Industries

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