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 / Vignesh Prajapati.
Material type:
TextPublication details: Birmingham : Packt Publishing, 2013.Description: 1 online resource : illustrationsContent type: - text
- computer
- online resource
- 9781782163299
- 1782163298
- 1306166055
- 9781306166058
- Apache Hadoop
- Apache Hadoop
- Apache Hadoop
- Electronic data processing -- Distributed processing
- Data mining
- Data structures (Computer science)
- R (Computer program language)
- Traitement réparti
- Exploration de données (Informatique)
- Structures de données (Informatique)
- R (Langage de programmation)
- MATHEMATICS -- Applied
- MATHEMATICS -- Probability & Statistics -- General
- Data mining
- Data structures (Computer science)
- Electronic data processing -- Distributed processing
- R (Computer program language)
- Matematisk statistik
- Databehandling
- 519.502855133 22
- QA276.45 .R3
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Print version record.
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.
Includes bibliographical references and index.
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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