Utilize R to uncover hidden patterns in your Big Data Key Features [* ] Perform computational analyses on Big Data to generate meaningful results [*] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, [*] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Book DescriptionBig Data analytics is the process of examining large and complex data sets that often exceed the computational ...
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Utilize R to uncover hidden patterns in your Big Data Key Features [* ] Perform computational analyses on Big Data to generate meaningful results [*] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, [*] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Book DescriptionBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O. What you will learn [*] Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities [*] Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner [*] Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage [*] Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform Who this book is forThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.
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Add this copy of Big Data Analytics with R: Leverage R Programming to to cart. $63.19, like new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2016 by Packt Publishing Limited.
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Add this copy of Big Data Analytics with R: Leverage R Programming to to cart. $69.70, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2016 by Packt Publishing Limited.
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New. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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The book is in good condition with all pages and cover intact including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting and there might be a From the library of label. Boxed set packaging shrink wrap or included media like CDs may be missing.
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Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid nice copy to enjoy.
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