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Big Data Analytics with R

You're reading from   Big Data Analytics with R Leverage R Programming to uncover hidden patterns in your Big Data

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781786466457
Length 506 pages
Edition 1st Edition
Languages
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Concepts
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Author (1):
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Simon Walkowiak Simon Walkowiak
Author Profile Icon Simon Walkowiak
Simon Walkowiak
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Table of Contents (10) Chapters Close

Preface 1. The Era of Big Data FREE CHAPTER 2. Introduction to R Programming Language and Statistical Environment 3. Unleashing the Power of R from Within 4. Hadoop and MapReduce Framework for R 5. R with Relational Database Management Systems (RDBMSs) 6. R with Non-Relational (NoSQL) Databases 7. Faster than Hadoop - Spark with R 8. Machine Learning Methods for Big Data in R 9. The Future of R - Big, Fast, and Smart Data

Who this book is for

This book is intended for middle level data analysts, data engineers, statisticians, researchers, and data scientists, who consider and plan to integrate their current or future big data analytics workflows with R programming language.

It is also assumed that readers will have some previous experience in data analysis and the understanding of data management and algorithmic processing of large quantities of data. However, they may lack specific R skills related to particular open source big data tools.

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