{"product_id":"big-data-analytics-with-r-simon-walkowiak-9781786466457","title":"Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data","description":"\u003cp\u003e\u003cstrong\u003eUtilize R to uncover hidden patterns in your Big Data\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePerform computational analyses on Big Data to generate meaningful results\u003c\/li\u003e \u003cli\u003eGet a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL\/NoSQL databases, \u003c\/li\u003e \u003cli\u003eExplore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eBig 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eLearn about current state of Big Data processing using R programming language and its powerful statistical capabilities\u003c\/li\u003e \u003cli\u003eDeploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner\u003c\/li\u003e \u003cli\u003eApply 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\u003c\/li\u003e \u003cli\u003eExplore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.\u003c\/p\u003e \u003cp\u003eIt 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Simon Walkowiak\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1786466457\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781786466457\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/29\/2016\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 506\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.90lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 1.02d","brand":"Simon Walkowiak","offers":[{"title":"Paperback","offer_id":43979683692799,"sku":"9781786466457","price":60.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_ab132f24-ed86-418a-8cfe-892cb841c6ab.jpg?v=1683246494","url":"https:\/\/www.whiterainbookhouse.com\/products\/big-data-analytics-with-r-simon-walkowiak-9781786466457","provider":"WR Book House","version":"1.0","type":"link"}