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Big Data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics /
Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This 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 wh...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Prajapati, Vignesh. | |
| 245 | 1 | 0 | |a Big Data analytics with R and Hadoop : |b set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics / |c Vignesh Prajapati. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2013. | ||
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 588 | 0 | |a Print version record. | |
| 520 | |a Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This 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. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Getting ready to use R and Hadoop -- Writing Hadoop MapReduce programs -- Integrating R and Hadoop -- Using Hadoop streaming with R -- Learning data analytics with R and Hadoop -- Understanding big data analysis with machine learning -- Importing and exporting data from various DBs. | |
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| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Data structures (Computer science) | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 650 | 7 | |a Electronic data processing |x Distributed processing |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 7 | |a Matematisk statistik. |2 sao | |
| 650 | 7 | |a Databehandling. |2 sao | |
| 776 | 0 | 8 | |i Print version: |a Prajapati, Vignesh. |t Big Data Analytics with R and Hadoop. |d Packt Publishing, 2013 |z 1306166055 |
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