Big Data Analytics with R and Hadoop

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Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.

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4.0

Based on 1 users review

mau99
mau99

Dec. 26, 2025, 4:19 p.m.

This is a classic - old but academic book, all the coding example was in R which were easy to understand but somehow i can say outdate with current trend. But anyway if for interest of laying foundation this book is absolutely fine. You can learn about working with quasi-semi structure data using R, and doing alot of descriptive-diagnostic-predictive analytcis with R, get familiar with regression, K-NN,clustering and various statistics algorithm.


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