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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,Processing Using Spark—A Potent of BD Technology,(Data processing paradigm supports columnar storage), and Recommendation systems with MlLib. All libraries operate on RDDs as the data abstraction is very easy to compose with any applications. RDDs are a fault-tolerant computing engine (RDDs are the major abstraction and provide explicit support fo

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Recent Developments in Big Data Analysis Tools and Apache Spark,erent 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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Venn Diagrams and Logical Connectives,ent progress over researches with respect to machine learning for big data analytic and different techniques in the context of modern computing environments for various societal applications. Specifically, our aim is to investigate opportunities and challenges of ML on big data and how it affects th

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https://doi.org/10.1007/978-3-031-17646-3(Data processing paradigm supports columnar storage), and Recommendation systems with MlLib. All libraries operate on RDDs as the data abstraction is very easy to compose with any applications. RDDs are a fault-tolerant computing engine (RDDs are the major abstraction and provide explicit support fo