Big Data with Hadoop Mapreduce: A Classroom Approach
暫譯: 使用 Hadoop Mapreduce 的大數據：課堂教學法

Jeyaraj, Rathinaraja, Pugalendhi, Ganeshkumar, Paul, Anand

Big Data with Hadoop Mapreduce: A Classroom Approach
  • 出版商: Apple Academic Press
  • 出版日期: 2020-09-09
  • 售價: $5,710
  • 貴賓價: 9.5 折 $5,425
  • 語言: 英文
  • 頁數: 426
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1771888342
  • ISBN-13: 9781771888349
  • 相關分類: Hadoop、分散式架構、大數據 Big-data

    • 海外代購書籍(需單獨結帳)

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商品描述

The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc.

Ultimately, readers will be able to:

- understand what big data is and the factors that are involved

- understand the inner workings of MapReduce, which is essential for certification exams

- learn the features and weaknesses of MapReduce

- set up Hadoop clusters with 100s of physical/virtual machines

- create a virtual machine in AWS

- write MapReduce with Eclipse in a simple way

- understand other big data processing tools and their applications

商品描述(中文翻譯)

作者透過清晰地呈現基本術語和概念，提供了對大數據和 MapReduce 的理解。他們使用了超過 100 幅插圖和許多詳細的範例來傳達大數據中使用的概念和方法、MapReduce 的內部運作，以及在實體/虛擬機器上的單節點/多節點安裝。本書涵蓋了幾乎所有有關 Hadoop MapReduce 的必要資訊，適用於大多數線上認證考試。完成本書後，讀者將能夠輕鬆理解其他大數據處理工具，如 Spark、Storm 等。

最終，讀者將能夠：
- 理解什麼是大數據及其相關因素
- 理解 MapReduce 的內部運作，這對於認證考試至關重要
- 學習 MapReduce 的特點和弱點
- 設置擁有數百台實體/虛擬機器的 Hadoop 集群
- 在 AWS 中創建虛擬機器
- 以簡單的方式在 Eclipse 中編寫 MapReduce
- 理解其他大數據處理工具及其應用

作者簡介

Rathinaraja Jeyaraj is a Research Scholar in the Department of Information Technology at the National Institute of Technology Karnataka, India. He recently worked as a visiting researcher at Connected Computing and Media Processing Lab, Kyungpook National University, South Korea. His research interests include big data processing tools, cloud computing, IoT, and machine learning.

Ganeshkumar Pugalendhi, PhD, is an Assistant Professor in the Department of Information Technology, Anna University Regional Campus, Coimbatore, India. He is the resource person for delivering technical talks and seminars sponsored by various organizations, including the University Grants Commission of India, All India Council for Technical Education, Technical Education Quality Improvement Programme of Government of India, Indian Council of Medical Research, and many others. He has written two research-oriented textbooks: Data Classification Using Soft Computing and Soft Computing for Microarray Data Analysis.

Anand Paul, PhD, is an Associate Professor at the School of Computer Science and Engineering at Kyungpook National University, South Korea. He was a delegate representing South Korea for the M2M focus group in 2010-2012 and is serving as associate editor for the journals IEEE Access, IET Wireless Sensor Systems, ACM Applied Computing Reviews, Cyber Physical Systems, Human Behaviour and Emerging Technology, and the Journal of Platform Technology. He is the track chair for smart human computer interaction with the Association for Computing Machinery Symposium on Applied Computing 2014-2019, and general chair for the 8th International Conference on Orange Technology (ICOT 2020).

作者簡介(中文翻譯)

Rathinaraja Jeyaraj 是印度卡納塔克國立技術學院資訊科技系的研究學者。他最近在南韓慶北國立大學的連接計算與媒體處理實驗室擔任訪問研究員。他的研究興趣包括大數據處理工具、雲計算、物聯網和機器學習。

Ganeshkumar Pugalendhi, PhD, 是印度科印巴多安娜大學區域校區資訊科技系的助理教授。他是多個組織贊助的技術講座和研討會的資源人員，包括印度大學資助委員會、全印度技術教育委員會、印度政府技術教育質量改善計劃、印度醫學研究委員會等。他撰寫了兩本以研究為導向的教科書：使用軟計算的數據分類和微陣列數據分析的軟計算。

Anand Paul, PhD, 是南韓慶北國立大學計算機科學與工程學院的副教授。他曾在2010年至2012年間代表南韓參加M2M焦點小組，並擔任期刊IEEE Access, IET Wireless Sensor Systems, ACM Applied Computing Reviews, Cyber Physical Systems, Human Behaviour and Emerging Technology及Journal of Platform Technology的副編輯。他是2014至2019年計算機協會應用計算研討會的智能人機互動專題主席，以及第八屆國際橙色技術會議（ICOT 2020）的總主席。

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