Big Data Analytics with R and Hadoop(Paperback)
暫譯: 使用 R 和 Hadoop 進行大數據分析(平裝本)
Vignesh Prajapati
- 出版商: Packt Publishing
- 出版日期: 2013-11-25
- 售價: $2,040
- 貴賓價: 9.5 折 $1,938
- 語言: 英文
- 頁數: 238
- 裝訂: Paperback
- ISBN: 178216328X
- ISBN-13: 9781782163282
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相關分類:
Hadoop、R 語言、大數據 Big-data、Data Science
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相關主題
商品描述
If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.
Overview
- Write Hadoop MapReduce within R
- Learn data analytics with R and the Hadoop platform
- Handle HDFS data within R
- Understand Hadoop streaming with R
- Encode and enrich datasets into R
In Detail
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.
Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.
You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.
What you will learn from this book
- Integrate R and Hadoop via RHIPE, RHadoop, and Hadoop streaming
- Develop and run a MapReduce application that runs with R and Hadoop
- Handle HDFS data from within R using RHIPE and RHadoop
- Run Hadoop streaming and MapReduce with R
- Import and export from various data sources to R
Approach
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.
Who this book is written for
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.
商品描述(中文翻譯)
如果您是一位 R 開發者,想要利用 Hadoop 的大數據分析能力,那麼這本書將告訴您整合這兩者所需的一切。您將能夠建立一個具有巨大潛力的數據分析引擎。
概述
- 在 R 中撰寫 Hadoop MapReduce
- 學習使用 R 和 Hadoop 平台進行數據分析
- 在 R 中處理 HDFS 數據
- 理解 R 的 Hadoop streaming
- 將數據集編碼並豐富到 R 中
詳細內容
大數據分析是檢查各種類型的大量數據以揭示隱藏模式、未知關聯和其他有用信息的過程。這些信息可以為競爭對手提供競爭優勢,並帶來商業利益,例如更有效的市場營銷和增加的收入。使用 Hadoop 和 MapReduce 等新方法處理大數據,提供了傳統數據倉儲的替代方案。
《使用 R 和 Hadoop 的大數據分析》專注於通過各種工具(如 RHIPE 和 RHadoop)整合 R 和 Hadoop 的技術。可以建立一個強大的數據分析引擎,能夠以可擴展的方式處理大規模數據集上的分析算法。這可以通過 R 的數據分析操作、Hadoop 的 MapReduce 和 HDFS 實現。
您將從 R 和 Hadoop 的安裝和配置開始。接下來,您將發現有關 R 和 Hadoop 的各種實用數據分析示例的信息。最後,您將學習如何從各種數據源導入/導出到 R。《使用 R 和 Hadoop 的大數據分析》還將幫助您輕鬆理解 R 和 Hadoop 連接器 RHIPE、RHadoop 和 Hadoop streaming。
您將從這本書中學到的內容
- 通過 RHIPE、RHadoop 和 Hadoop streaming 整合 R 和 Hadoop
- 開發並運行一個與 R 和 Hadoop 一起運行的 MapReduce 應用程序
- 使用 RHIPE 和 RHadoop 在 R 中處理 HDFS 數據
- 使用 R 運行 Hadoop streaming 和 MapReduce
- 從各種數據源導入和導出到 R
方法
《使用 R 和 Hadoop 的大數據分析》是一本教程風格的書籍,專注於通過整合 R 和 Hadoop 可以實現的所有強大大數據任務。
本書的讀者對象
這本書非常適合尋找使用 Hadoop 進行大數據分析方法的 R 開發者。本書也針對那些了解 Hadoop 並希望利用 R 套件在大數據上構建一些智能應用程序的人。如果讀者對 R 有基本的了解,將會更有幫助。