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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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Previews available in: English
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 processingEdition | Availability |
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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
2013, Packt Publishing
in English
1782163298 9781782163299
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Book Details
Table of Contents
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.
Edition Notes
Includes bibliographical references and index.
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History
- Created September 15, 2021
- 5 revisions
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October 9, 2024 | Edited by MARC Bot | import existing book |
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January 14, 2023 | Edited by ImportBot | import existing book |
December 17, 2022 | Edited by ImportBot | import existing book |
September 15, 2021 | Created by ImportBot | Imported from Internet Archive item record |