Titlebook: Big Data Processing Using Spark in Cloud; Mamta Mittal,Valentina E. Balas,Raghvendra Kumar Book 2019 Springer Nature Singapore Pte Ltd. 20

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Introduction to Computational Biologyerent sources. In addition, analytic uncertainty is also hard to predict the aspects for which the data is useful for the purpose of analysis. The main focus of this chapter is to illustrate different tools used for the analysis of big data in general and Apache Spark (AS) in particular. The data st

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Big Data Analysis in Cloud and Machine Learning,business organization, as it is the data that streams into actionable insights of businesses. The data available with the organizations are so much in volume that it is popularly referred as big data. It is the hottest buzzword spanning the business and technology worlds. Economies over the world is

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,Cloud Computing Based Knowledge Mapping Between Existing and Possible Academic Innovations—,-,he hardware, software, and systems. Cloud Computing allows healthy and wider efficient computing services in terms of providing centralized services of storage, applications, operating systems, processing, and bandwidth. Cloud Computing is a type of architecture which helps in promotion of scalable

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Data Processing Framework Using Apache and Spark Technologies in Big Data,ata generation begins with the fact that there is vast information to capture and store. The rate of mounting of data on the Internet was one of the important factors in giving rise to the concept of big data. However, it is related to Internet but its existence is due to growing unstructured data w

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Machine Learning on Big Data: A Developmental Approach on Societal Applications,m input examples to make data-driven predictions or decisions. The growing concept “Big Data” need to be brought a great deal accomplishment in the field from claiming data science. It gives data quantifiability in a variety of ways that endow into data science. ML techniques have made huge societal