Big Data Analytics with R and Hadoop

Big Data Analytics with R and Hadoop  (English, Paperback, Prajapati Vignesh)

4.3
11 Ratings & 2 Reviews
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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Packt Publishing Limited
    • Genre: Computers
    • ISBN: 9781782163282, 9781782163282
    • Pages: 238
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  • Description
    If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.Key FeaturesWrite Hadoop MapReduce within RLearn data analytics with R and the Hadoop platformHandle HDFS data within RUnderstand Hadoop streaming with REncode and enrich datasets into RBook DescriptionBig 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. Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.What you will learnIntegrate R and Hadoop via RHIPE, RHadoop, and Hadoop streamingDevelop and run a MapReduce application that runs with R and HadoopHandle HDFS data from within R using RHIPE and RHadoopRun Hadoop streaming and MapReduce with RImport and export from various data sources to RWho this book is forThis book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.
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    Specifications
    Book Details
    Imprint
    • Packt Publishing Limited
    Publication Year
    • August
    Dimensions
    Height
    • 235 mm
    Length
    • 191 mm
    Depth
    • 0.23 inch
    Ratings & Reviews
    4.3
    11 Ratings &
    2 Reviews
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    • 4
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    • 2
    • 1
    • 7
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    • 1
    1

    Don't buy it . Its waste of money and itme

    A half baked product , just trying to encash on the popularity of Big Data and making fool of gullible new comers. I was extremely disappointed that I wasted my money on it . Deal with an archaic version of hadoop and Map reduce.. even installation steps are so messed up and incomplete ... For most of the critical steps , links to 3'rd party blogs are provided , which in anyways come up on Google's first page .

    I wont recommend this book to any one .. Spending some time on wikipedia and ...
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    Abhi

    Certified Buyer, Ranchi

    Jul, 2014

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    5

    Dr.M.Sudheep

    Exceptionally good with authoritative technical tips and tricks. Very relavant in current big data scenario
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    Dr.M.Sudheep Elayidom

    Certified Buyer, Ernakulam District

    Jul, 2016

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