「巨量資料/大數據(Big Data)」在我們的生活裡已經掀起滔天巨浪，繼雲端運算(Cloud Computing) 之後，儼然成為學術界跟科技業中最熱門的潮字，似乎每家公司都在進行有關的研究，三句不離大數 據。巨量資料時代，統計與資料分析是根本中的根本。數據專家(Data Scientist)或量化分析師(Quantitative Analyst)的專業包含了統計學、電腦科學和數學，過去這些人才都搶著要進華爾街工 作，但多虧了 Big Data 帶來的風潮，現在各行各業都在尋找擁有量化分析、統計學背景的工程師、數據專家。本課程將以實際體驗Hadoop多台主機的分散式叢集架構，做到HDFS分散式儲存和MapReduce的叢集運算，達到BigData的處理與分析。學習Hadoop儲存系統與資源管理框架及Spark In-Memory巨量資料相關關鍵技術。資料分析軟體及程式語言-R語言做為進入巨量資料分 析的初階基本課程，相信要進大數據一行不成問題。

"Big Data" has made huge waves in our lives. Following Cloud Computing, it has become the hottest buzzword in academia and the technology industry. It seems that every company is conducting related research, and big data is inseparable. In the era of huge amounts of data, statistics and data analysis are the fundamentals. The majors of Data Scientists or Quantitative Analysts include statistics, computer science and mathematics. In the past, these talents were rushing to work on Wall Street. But thanks to the trend brought by Big Data, all walks of life are now looking for engineers and data experts with backgrounds in quantitative analysis and statistics. This course will provide practical experience of the distributed cluster architecture of Hadoop multiple hosts, achieve HDFS distributed storage and MapReduce cluster operations, and achieve BigData processing and analysis. Learn the key technologies related to Hadoop storage system and resource management framework and Spark In-Memory massive data. Data analysis software and programming language-R language are the basic basic courses for entering into the analysis of huge amounts of data. I believe that it will not be a problem to enter the big data field.

書名 R 軟體資料分析基礎與應用 出版社 旗 標 科 技 股 份 有 限 公 司
作者 鍾振蔚譯 出版年 2015

Book Title R Software Data Analysis Fundamentals and Applications Publisher Flag Technology Co., Ltd.
Author Translated by Zhong Zhenwei Year of publication 2015