Big Data analytics with R and Hadoop - Info and Reading Options
set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
By Vignesh Prajapati
"Big Data analytics with R and Hadoop" was published by Packt Publishing in 2013 - Birmingham, it has 1 pages and the language of the book is English.
“Big Data analytics with R and Hadoop” Metadata:
- Title: ➤ Big Data analytics with R and Hadoop
- Author: Vignesh Prajapati
- Language: English
- Number of Pages: 1
- Publisher: Packt Publishing
- Publish Date: 2013
- Publish Location: Birmingham
“Big Data analytics with R and Hadoop” Subjects and Themes:
- Subjects: ➤ Electronic data processing - Distributed processing - Data mining - Data structures (Computer science) - R (Computer program language) - MATHEMATICS - Applied - Probability & Statistics - General - Matematisk statistik - Databehandling - Apache Hadoop - Electronic data processing, distributed processing
Edition Specifications:
- Pagination: 1 online resource
Edition Identifiers:
- The Open Library ID: OL33337775M - OL25072132W
- Online Computer Library Center (OCLC) ID: 864381816 - 869377851
- ISBN-13: 9781782163299 - 9781306166058 - 9781782163282
- ISBN-10: 1782163298 - 1306166055 - 178216328X
- All ISBNs: ➤ 1782163298 - 1306166055 - 178216328X - 9781782163299 - 9781306166058 - 9781782163282
AI-generated Review of “Big Data analytics with R and Hadoop”:
"Big Data analytics with R and Hadoop" Table Of Contents:
- 1- Getting ready to use R and Hadoop
- 2- Writing Hadoop MapReduce programs
- 3- Integrating R and Hadoop
- 4- Using Hadoop streaming with R
- 5- Learning data analytics with R and Hadoop
- 6- Understanding big data analysis with machine learning
- 7- Importing and exporting data from various DBs.
"Big Data analytics with R and Hadoop" Description:
The Open Library:
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.
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